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<table border="1" class="dataframe"> <tr> <th> Name </th> <th> Description </th> </tr> <tr> <td> C2 </td> <td> complement component 2 </td> </tr> <tr> <td> PMP22 </td> <td> peripheral myelin protein 22 </td> </tr> <tr> <td> SDC1 </td> <td> syndecan 1 </td> ...
PMC2716678_table_3
<table border="1" class="dataframe"> <tr> <th> </th> <th> True normal tissues </th> <th> True tumor tissues </th> </tr> <tr> <td> Predicted as normal tissues </td> <td> 1 </td> <td> 1 </td> </tr> <tr> <td> Predicted as tumor tissues </td> <td> 5 </td> <td> ...
PMC2716681_table_0
<table border="1" class="dataframe"><tr><td></td><td></td><td>Batch I Analysis</td><td></td><td></td></tr><tr><td></td><td>Organ donor (N)</td><td>Adjacent to tumor (A)</td><td>Tumor (T)</td><td>Total</td></tr><tr><td>Liver</td><td>21</td><td>30</td><td>43</td><td>94</td></tr><tr><td>Prostate</td><td>23</td><td>59</td>...
PMC2716681_table_1
<table border="1" class="dataframe"><tr><td></td><td colspan="2">Liver vs. Prostate</td><td></td><td></td></tr><tr><td></td><td>liv→liv</td><td>pro→liv</td><td>pro→pro</td><td>liv→pro</td></tr><tr><td>All genes</td><td>96.5%</td><td>66.3%</td><td>93.9%</td><td>47.4%</td></tr><tr><td>Common signature</td><td>96.5%</td><...
PMC2716681_table_2
<table border="1" class="dataframe"><tr><td></td><td colspan="2">Liver</td><td></td><td></td></tr><tr><td></td><td>liv→liv</td><td>pro→liv</td><td>pro→pro</td><td>liv→pro</td></tr><tr><td>All genes</td><td>96.51%</td><td>66.28%</td><td>93.94%</td><td>47.36%</td></tr><tr><td>Common signature</td><td>97.67%</td><td>97.67...
PMC2716681_table_3
<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th colspan="4"> Test data </th> </tr> <tr> <th> </th> <th> </th> <th> Liver </th> <th> Prostate </th> <th> Lung </th> <th> Bladder </th> </tr> <tr> <td rowspan="4"> Training data </td> <td> ...
PMC2716681_table_4
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> A2780 </th> <th colspan="2"> A2780/CDDP </th> <th colspan="2"> SKOV3 </th> </tr> <tr> <th> </th> <th> control </th> <th> BRCA1 si </th> <th> control </th> <th> BRCA1 si </th> <th> contr...
PMC2716781_table_0
<table border="1" class="dataframe"> <tr> <th> Group </th> <th> Site </th> <th> n </th> <th> Women/Men </th> <th> Age (years) </th> <th> BMI (kg/m2) </th> </tr> <tr> <td rowspan="4"> Control </td> <td> UK </td> <td> 21 </td> <td> 20/1 </td> <td>...
PMC2717045_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="5"> Risk groups </th> <th> </th> </tr> <tr> <th> Country </th> <th> MSM </th> <th> IDUs </th> <th> Heterosexuals </th> <th> Others </th> <th> Unknown </th> <th> Sum </th> </tr> <tr> <...
PMC2717046_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th> White (291) </th> <th> Hispanic (22) </th> <th> Black (12) </th> <th> Asian (5) </th> <th> Other (15) </th> </tr> <tr> <td> SNAP </td> <td> 0.709 </td> <td> 0.750 </td> <td> 1.240 </td> <td>...
PMC2717047_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Race </th> <th colspan="2"> Race by treatment </th> </tr> <tr> <th> Method </th> <th> ANOVA </th> <th> Corrected pairwise t-tests </th> <th> ANOVA </th> <th> lm coefficient </th> </tr> <tr> ...
PMC2717047_table_1
<table border="1" class="dataframe"> <tr> <th> Analyte </th> <th> Collision energy (eV) </th> <th> Collision exit potential (V) </th> <th> Declustering potential (V) </th> <th> Entrance potential (V) </th> </tr> <tr> <td> myo-inositol </td> <td> -10.0 </td> <td> ...
PMC2717050_table_0
<table border="1" class="dataframe"> <tr> <th> Time </th> <th> Mean </th> <th> SD </th> <th> N </th> </tr> <tr> <td> 1 </td> <td> 6.33 </td> <td> 4.1 </td> <td> 45 </td> </tr> <tr> <td> 2 </td> <td> 3.16 </td> <td> 3.9 </td> <td> 32 ...
PMC2717051_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th rowspan="2"> Time 1 Mean </th> <th rowspan="2"> SD </th> <th rowspan="2"> N </th> <th rowspan="2"> Time 2 Mean </th> <th rowspan="2"> SD </th> <th rowspan="2"> N </th> <th rowspan="2"> Time 3 Mean </th> <th ...
PMC2717051_table_1
<table border="1" class="dataframe"> <tr> <th> Time </th> <th> Mean </th> <th> SD </th> <th> N </th> </tr> <tr> <td> 1 </td> <td> 12.13 </td> <td> 3.21 </td> <td> 45 </td> </tr> <tr> <td> 2 </td> <td> 13.48 </td> <td> 3.48 </td> <td> ...
PMC2717051_table_2
<table border="1" class="dataframe"> <tr> <th> </th> <th rowspan="2"> Time 1 Mean </th> <th rowspan="2"> SD </th> <th rowspan="2"> N </th> <th rowspan="2"> Time 2 Mean </th> <th rowspan="2"> SD </th> <th rowspan="2"> N </th> <th rowspan="2"> Time 3 Mean </th> <th ...
PMC2717051_table_3
<table border="1" class="dataframe"> <tr> <th> Parameters </th> <th> Oromo folksongs </th> <th> Remark </th> </tr> <tr> <td> Lyrics </td> <td> More than one issue is addressed </td> <td> With the exception to some of the folksongs, most of them describe various and more than o...
PMC2717052_table_0
<table border="1" class="dataframe"> <tr> <th> Patient characteristics 16 </th> <th> Number of patients </th> <th> HER 2 +(%) </th> </tr> <tr> <td> Total Patients </td> <td> 73 </td> <td> 21 (28.8) </td> </tr> <tr> <td> Sex </td> <td> </td> <td> </td> </tr>...
PMC2717055_table_0
<table border="1" class="dataframe"> <tr> <th> HER 2 </th> <th> CR+PR+SD </th> <th> PD </th> </tr> <tr> <td> HER 2 (+) </td> <td> 13 (63.9) </td> <td> 8(38.1%) </td> </tr> <tr> <td> HER 2 (-) </td> <td> 48 (92.3%) </td> <td> 4(7.7%) </td> </tr> </tabl...
PMC2717055_table_1
<table border="1" class="dataframe"> <tr> <th> Patient characteristics </th> <th> Number of patients </th> <th> CR+PR+SD </th> <th> PD </th> </tr> <tr> <td> Total Patients </td> <td> 73 </td> <td> 61(83.6%) </td> <td> 12 (16.4%) </td> </tr> <tr> <td> Sex...
PMC2717055_table_2
<table border="1" class="dataframe"> <tr> <th> GO term </th> <th> Level1 </th> <th> Genes2 </th> <th> ORFs3 </th> <th> Prot. DIP4 </th> <th> Prot.DIP/ ORFs (%) </th> <th> Prot. GOLD5 </th> <th> Prot.GOLD/ ORFs (%) </th> </tr> <tr> <td> Developmental proces...
PMC2717056_table_0
<table border="1" class="dataframe"><tr><td>GO term</td><td>N (P) DIP</td><td>N (P) GOLD</td><td>GO term</td><td>N (P) DIP</td><td>N (P) GOLD</td></tr><tr><td>Developmental process (32502)</td><td>632 (16)</td><td>257 (8)</td><td>Organelle envelope (31967)</td><td>230 (12)</td><td>69 (2)</td></tr><tr><td>Reproductive d...
PMC2717056_table_1
<table border="1" class="dataframe"> <tr> <th> GO TERMS </th> <th> Coverage </th> <th> Purity (Average) </th> <th> Ambiguity </th> <th> Φ(average ± s.e.m.) </th> </tr> <tr> <td> Developmental process (32502) </td> <td> 63.6% (402/632) </td> <td> 62.2% </td> <...
PMC2717056_table_2
<table border="1" class="dataframe"> <tr> <th> GO TERMS </th> <th> Coverage </th> <th> Purity (Average) </th> <th> Ambiguity </th> <th> Φ(average ± s.e.m.) </th> </tr> <tr> <td> Developmental process (32502) </td> <td> 83.3% (214/257) </td> <td> 82.0% </td> <...
PMC2717056_table_3
<table border="1" class="dataframe"> <tr> <th> </th> <th> A priori Genetic Group </th> <th> Geneclass </th> <th> </th> <th> </th> <th> Structure </th> <th> </th> <th> </th> </tr> <tr> <td> </td> <td> </td> <td> RFLP </td> <td> SSR </td> <td> RFLP ...
PMC2717059_table_0
<table border="1" class="dataframe"> <tr> <th> SSR\RFLP </th> <th> A </th> <th> B </th> <th> C </th> <th> D </th> <th> E </th> </tr> <tr> <td> A </td> <td> 0 </td> <td> 0.29 </td> <td> 0.50 </td> <td> 0.67 </td> <td> 0.30 </td> </tr...
PMC2717059_table_1
<table border="1" class="dataframe"> <tr> <th> Variable, % unless otherwise indicated </th> <th> EuroSCORE &gt; 20, n = 237 </th> <th> EuroSCORE ≤ 20, n = 1,184 </th> </tr> <tr> <td> Critical preoperative state* </td> <td> 24.5 </td> <td> 1.0 </td> </tr> <tr> <td> Eme...
PMC2717063_table_0
<table border="1" class="dataframe"> <tr> <th> Outcome, % </th> <th> EuroSCORE &gt; 20, n = 237 </th> <th> ≤ EuroSCORE 20, n = 1,184 </th> <th> P </th> </tr> <tr> <td> Mortality (in-hospital or within 30 days of surgery) </td> <td> 11.4 </td> <td> 3.2 </td> <td> ...
PMC2717063_table_1
<table border="1" class="dataframe"> <tr> <th> WHO </th> <th> n </th> <th> Age (yr) </th> <th> MGb(%) </th> <th> Weight (g) </th> <th> Masaoka I </th> <th> Masaoka II </th> <th> Masaoka III </th> <th> Masaoka IV </th> </tr> <tr> <td> A </td> <td...
PMC2717064_table_0
<table border="1" class="dataframe"> <tr> <th> Masaoka </th> <th> n </th> <th> R0-status </th> <th> N1 </th> <th> M1 </th> <th> Recurrence </th> <th> 5-year survival (%) </th> </tr> <tr> <td> I </td> <td> 42 </td> <td> 42 (100%) </td> <td> 0 ...
PMC2717064_table_1
<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> n </th> <th> Pseudocapsula complete </th> <th> Pseudocapsula incomplete </th> <th> Pseudocapsula no capsula </th> <th> p-valueb </th> </tr> <tr> <td> Masaoka I </td> <td> 42 </td> <td> ...
PMC2717064_table_2
<table border="1" class="dataframe"> <tr> <th> Risk factor </th> <th> Univariate analysis </th> <th colspan="3"> Multivariate analysisc </th> </tr> <tr> <th> </th> <th> p valueb </th> <th> Relative risk </th> <th> 95% Confidence interval </th> <th> p value </th> ...
PMC2717064_table_3
<table border="1" class="dataframe"> <tr> <th> Examination subject </th> <th> Date </th> <th> Format </th> <th> Reliability (KR20) </th> </tr> <tr> <td rowspan="2"> Generic clinical knowledge </td> <td> March </td> <td> EMQ </td> <td> 0.758 </td> </tr> <tr> ...
PMC2717066_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th> Intervention group n = (%) </th> <th> Control group n = (%) </th> <th> Total n = (%) </th> <th> Group differences </th> <th> p value </th> </tr> <tr> <td> </td> <td colspan="2"> Total n = (%)Tutor </td> <td>...
PMC2717066_table_1
<table border="1" class="dataframe"> <tr> <th> Ethnic group </th> <th> Condition </th> <th> Mean written z-score (SD) </th> <th> Mean OSCE z-score (SD) </th> <th> N </th> </tr> <tr> <td rowspan="2"> W </td> <td> Intervention </td> <td> 0.063 (0.90) </td> <td>...
PMC2717066_table_2
<table border="1" class="dataframe"> <tr> <th> Dimensions </th> <th> Word categories </th> <th> Type of word </th> <th> Group with highest frequency </th> <th> t </th> <th> Mean use by all students </th> <th> Mean Difference between groups </th> <th> p value </th...
PMC2717066_table_3
<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Study aggregate </th> </tr> <tr> <td> Age (year), Median (IQR*) </td> <td> 35 (33–37) </td> </tr> <tr> <td> Gender (W:M) </td> <td> 43%/57% </td> </tr> <tr> <td> Married </td> <td> 65% ...
PMC2717068_table_0
<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Above PG level median (n = 18) </th> <th> Below PG level median (n = 33) </th> <th> *P value </th> </tr> <tr> <td> Age, median (range) in years </td> <td> 33 (31–40) </td> <td> 36 (31–47) </td> ...
PMC2717068_table_1
<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Above US Median (n = 13) </th> <th> Below US Median (n = 38) </th> <th> *P value </th> </tr> <tr> <td> Age, median (range) in years </td> <td> 35 (32–42) </td> <td> 35.5 (31–47) </td> <td> ...
PMC2717068_table_2
<table border="1" class="dataframe"> <tr> <th> #Characteristics </th> <th> Above US Median </th> <th> Below US Median </th> <th> P value </th> </tr> <tr> <td colspan="2"> (Above median </td> <td> </td> <td> </td> </tr> <tr> <td> Male/Female (ratio) (unadjusted analys...
PMC2717068_table_3
<table border="1" class="dataframe"> <tr> <th> Characteristics (units) </th> <th> Fellowship pursuing residents (n = 8) </th> <th> Others (n = 43) </th> <th> P value </th> </tr> <tr> <td> Age, median (range) in years </td> <td> 33 (31 – 39) </td> <td> 35 (31–47) </td>...
PMC2717068_table_4
<table border="1" class="dataframe"> <tr> <th> Question </th> <th colspan="7"> Likert Scale </th> </tr> <tr> <th> How valuable has the student housing conditions survey, and discussion of findings, been for you? </th> <th> Extremely valuable </th> <th> 1 </th> <th> 2 </th> ...
PMC2717069_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Groups </th> <th> </th> </tr> <tr> <th> </th> <th> Hypoglycemic (n = 436) </th> <th> Controls (n = 434) </th> <th> P-value </th> </tr> <tr> <td> Cervical ripening </td> <td> 36 (8%) </td> <...
PMC2717071_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Group </th> <th> </th> </tr> <tr> <th> </th> <th> Hypoglycemic (n = 436) </th> <th> Controls (n = 434) </th> <th> P-value </th> </tr> <tr> <td> Birth weight (gm) (med, Q1-Q3) </td> <td> 3240 (2...
PMC2717071_table_1
<table border="1" class="dataframe"> <tr> <th> Outcome </th> <th> OR </th> <th> 95% CI </th> <th> RR </th> <th> 95% CI </th> <th> p-value </th> </tr> <tr> <td> Preeclampsia </td> <td> 3.13 </td> <td> 1.51–6.51 </td> <td> 2.98 </td> <td> 1.49–...
PMC2717071_table_2
<table border="1" class="dataframe"> <tr> <th> Code </th> <th> Clinician Comments </th> </tr> <tr> <td> Assessment of Severity </td> <td> "By how much the patient describes the itch. Like, if they say, it wakes me up at night, or it keeps me up at night, or it's relentless, or it drives me ...
PMC2717072_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Focus Groups </th> </tr> <tr> <th> </th> <th> Patients with Mild Psoriasis (N = 8) </th> <th> Patients with Severe Psoriasis (N = 31) </th> </tr> <tr> <td> Female sex, n (%) </td> <td> 5 (63) </td> <t...
PMC2717072_table_1
<table border="1" class="dataframe"> <tr> <th> Code/domain </th> <th> Patient Comment (Severity of Psoriasis) </th> </tr> <tr> <td> Symptoms/itch </td> <td> "You itch a lot. Scratch a lot, I mean." (Severe) "Scratch to relieve." (Severe) "It will spread over my whole body, the itching. I'll...
PMC2717072_table_2
<table border="1" class="dataframe"> <tr> <th> </th> <th> Patients with Mild Disease (N = 8) </th> <th> Patients with Severe Disease (N = 31) </th> <th> All Patients (N = 39) </th> </tr> <tr> <td> Patients rating itch as the most important symptoma </td> <td> </td> <td> </td> ...
PMC2717072_table_3
<table border="1" class="dataframe"> <tr> <th> </th> <th> Total Responses </th> <th> FG 1 vs FG 2 </th> <th> FG 1–2 vs FG 3 </th> <th> FG 1–3 vs FG 4 </th> <th> FG 1–4 vs FG 5 </th> </tr> <tr> <td> Symptoms </td> <td> </td> <td> </td> <td> </td> <td> </td...
PMC2717072_table_4
<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th colspan="2"> Sinus rhythm at 12 +- 3 days </th> </tr> <tr> <th> </th> <th> All </th> <th> Yes </th> <th> No </th> </tr> <tr> <td> Patients, n </td> <td> 111 </td> <td> 56 </td> <td> ...
PMC2717073_table_0
<table border="1" class="dataframe"> <tr> <th rowspan="2"> New symptoms scale </th> <th rowspan="2"> ICC (AF at 12 ± 3 days) </th> <th rowspan="2"> Lower 95% CI limit for ICC </th> </tr> <tr> </tr> <tr> <td> Dyspnoea at rest </td> <td> 0.82 </td> <td> 0.61 </td> </tr> <t...
PMC2717073_table_1
<table border="1" class="dataframe"> <tr> <th> Items </th> <th> Dyspnoea at rest </th> <th> Dyspnoea on exertion </th> <th> Limitations in working </th> <th> Limitations in daily life </th> <th> Discomfort due to AF </th> <th> Fatiguedue to AF </th> <th> Anxiety du...
PMC2717073_table_2
<table border="1" class="dataframe"> <tr> <th> Item number </th> <th> Raw count </th> <th> Measure </th> <th> Realse </th> <th colspan="2"> Infit </th> <th colspan="2"> Outfit </th> <th> Score </th> </tr> <tr> <th> </th> <th> </th> <th> </th> <th> </th...
PMC2717073_table_3
<table border="1" class="dataframe"> <tr> <th> Score </th> <th> Description </th> </tr> <tr> <td> 0 </td> <td> No lesion </td> </tr> <tr> <td> 1 </td> <td> Hyperaemic area with erected pili </td> </tr> <tr> <td> 2 </td> <td> Moist, exudative and hyperaemic ar...
PMC2717074_table_0
<table border="1" class="dataframe"><tr><td>N° of cases</td><td></td></tr><tr><td>Total of</td><td>68</td></tr><tr><td>Distribution of parity groups (%)</td><td></td></tr><tr><td>Primiparous</td><td>75.0</td></tr><tr><td rowspan="2">Multiparous a</td><td>25.0</td></tr><tr><td></td></tr><tr><td rowspan="2">DIM* 0–120 to...
PMC2717074_table_1
<table border="1" class="dataframe"> <tr> <th> </th> <th> Median duration </th> </tr> <tr> <td> No stratification </td> <td> 42 (36–48) </td> </tr> <tr> <td> Stratification </td> <td> </td> </tr> <tr> <td> Primiparous </td> <td> 39 (35–48) </td> </tr> <tr> <t...
PMC2717074_table_2
<table border="1" class="dataframe"> <tr> <th> </th> <th> Pre-contrast </th> <th> Post-contrast </th> <th> CER* </th> </tr> <tr> <td> Triolein Group (n = 12) </td> <td> 504 (56.5) </td> <td> 1793 (229.9) </td> <td> 2.61 (0.73) </td> </tr> <tr> <td> Saline G...
PMC2717075_table_0
<table border="1" class="dataframe"> <tr> <th> HPVgenotype </th> <th> Primer sequences </th> <th> Amplicon (pb)* </th> </tr> <tr> <td> 6/11 </td> <td> TGC AAG AAT GCA CTG ACC AC TGC ATG TTG TCC AGC AGT GT </td> <td> 334 </td> </tr> <tr> <td> 16 </td> <td> CAC A...
PMC2717078_table_0
<table border="1" class="dataframe"> <tr> <th colspan="4"> HPV-DNA </th> </tr> <tr> <th> Type n = 18 </th> <th> Carcinogenic risk </th> <th> Frequency n = 82 </th> <th> % </th> </tr> <tr> <td> 6/11 </td> <td> LR </td> <td> 17 </td> <td> 20.7 </td> </t...
PMC2717078_table_1
<table border="1" class="dataframe"> <tr> <th> Cohort (n = 223) </th> <th> Characteristic </th> <th> aSer/Ser (n = 170) </th> <th> aSer/Leu (n = 43) </th> <th> aLeu/Leu (n = 10) </th> </tr> <tr> <td> No (%) of patients </td> <td> Co-existing diseases </td> <td> </...
PMC2717080_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th> </th> <th colspan="3"> No. of individuals with genotype (%) </th> <th> </th> </tr> <tr> <th> Population and disease </th> <th> No. </th> <th> Variant Allele Frequency (%) </th> <th> Ser/Ser </th> ...
PMC2717080_table_1
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="6"> Particle size (nm) (± SD) </th> </tr> <tr> <th> Samples </th> <th> N/P = 1 </th> <th> N/P = 3 </th> <th> N/P = 5 </th> <th> N/P = 7 </th> <th> N/P = 10 </th> <th> N/P = 15 </th> </tr> <...
PMC2717081_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="6"> Zeta potential (mV) (± SD) </th> </tr> <tr> <th> Samples </th> <th> N/P = 1 </th> <th> N/P = 3 </th> <th> N/P = 5 </th> <th> N/P = 7 </th> <th> N/P = 10 </th> <th> N/P = 15 </th> </tr> ...
PMC2717081_table_1
<table border="1" class="dataframe"> <tr> <th> </th> <th> Mean </th> <th> Minimum </th> <th> Maximum </th> <th> SD </th> </tr> <tr> <td> Age (year) </td> <td> 27.12 </td> <td> 19 </td> <td> 40 </td> <td> 4.84 </td> </tr> <tr> <td> Gestational ...
PMC2717084_table_0
<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> % </th> </tr> <tr> <td> Age group </td> <td> </td> </tr> <tr> <td> 15–19 </td> <td> 35.8 </td> </tr> <tr> <td> 20–24 </td> <td> 49.2 </td> </tr> <tr> <td> 25–29 </td> <td> ...
PMC2717085_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th> % </th> </tr> <tr> <td> Experience of kissing a girl </td> <td> 57.4 </td> </tr> <tr> <td> Experience of dating </td> <td> 44.5 </td> </tr> <tr> <td> Experience of placing hand on a girl's breast </td> <td> ...
PMC2717085_table_1
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Premarital sex </th> <th colspan="2"> Total </th> </tr> <tr> <th> </th> <th> Yes </th> <th> No </th> <th> % </th> <th> Number </th> </tr> <tr> <td> Age group </td> <td> </td> <td> ...
PMC2717085_table_2
<table border="1" class="dataframe"> <tr> <th rowspan="2"> In </th> <th> % </th> </tr> <tr> <td> 6.7 </td> </tr> <tr> <td rowspan="2"> 15–16 had </td> <td> 25.0 </td> </tr> <tr> <td> 32.0 </td> </tr> <tr> <td> 19 or more </td> <td> 36.3 </td> </tr> <tr>...
PMC2717085_table_3
<table border="1" class="dataframe"> <tr> <th> How many sex partners did you have (total)? </th> <th> % </th> </tr> <tr> <td> One </td> <td> 45.1 </td> </tr> <tr> <td> Two </td> <td> 23.7 </td> </tr> <tr> <td> Three and more </td> <td> 31.3 </td> </tr> <t...
PMC2717085_table_4
<table border="1" class="dataframe"> <tr> <th> </th> <th> % </th> </tr> <tr> <td> Have you ever had sex with CSW? </td> <td> </td> </tr> <tr> <td rowspan="2"> Yes was </td> <td> 22.8 </td> </tr> <tr> <td> 77.2 </td> </tr> <tr> <td> Total </td> <td> 100.0 ...
PMC2717085_table_5
<table border="1" class="dataframe"> <tr> <th> </th> <th> Model I </th> <th> Model II </th> <th> Model III </th> </tr> <tr> <td> Individual characteristics </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Age group </td> <td> </td> <td> </td> <td> ...
PMC2717085_table_6
<table border="1" class="dataframe"> <tr> <th> </th> <th> Method </th> <th> Threshold </th> <th> Clusters </th> <th> Singletons </th> <th> Max. cluster size </th> </tr> <tr> <td> Rice </td> <td> sHYB </td> <td> N/A </td> <td> 305 </td> <td> 0 ...
PMC2717093_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th> Clones </th> <th> Contigs </th> <th> Singl. </th> <th> Q-contigs </th> </tr> <tr> <td> Rice FPC Standard </td> <td> 22,486 </td> <td> 1,918 </td> <td> 860 </td> <td> 8 </td> </tr> <tr> <td...
PMC2717093_table_1
<table border="1" class="dataframe"> <tr> <th> </th> <th> Assembly score (%) </th> <th> Misplaced clones </th> <th> Misass. contigs </th> <th> Global ordering </th> </tr> <tr> <td> FPC Standard </td> <td> 96.43 </td> <td> 675 </td> <td> 493 </td> <td> ...
PMC2717093_table_2
<table border="1" class="dataframe"> <tr> <th> cor- </th> <th> MTP clones </th> <th> Coverage (%) </th> <th> Overlaps (%) </th> </tr> <tr> <td> FPC Standard </td> <td> 2,791 </td> <td> 84.89 </td> <td> 84.31 </td> </tr> <tr> <td> Comp. sHYB </td> <td...
PMC2717093_table_3
<table border="1" class="dataframe"> <tr> <th> </th> <th> TP (%) </th> <th> FN (%) </th> <th> Singl. (%) </th> </tr> <tr> <td> Rice FPC Standard </td> <td> 88.91 </td> <td> 8.53 </td> <td> 2.56 </td> </tr> <tr> <td> Rice Comp. sHYB </td> <td> 87.90 ...
PMC2717093_table_4
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="3"> Day care attendees (N = 61) </th> <th colspan="3"> All participants (N = 213) </th> </tr> <tr> <th> Serotype </th> <th> DCC1 </th> <th> DCC2 </th> <th> DCC3 </th> <th> DCC1 </th> <th> DCC2 ...
PMC2717096_table_0
<table border="1" class="dataframe"> <tr> <th> Model parameter </th> <th> Posterior mean </th> <th> 5% quantile </th> <th> 95% quantile </th> </tr> <tr> <td> κ Community acquisition rate (per month) </td> <td> 0.0059 </td> <td> 0.0043 </td> <td> 0.0077 </td> <...
PMC2717096_table_1
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Vaginal (V19I, V12I, V11I) </th> <th colspan="2"> Ectocervical (3ECI) </th> <th colspan="2"> Endocervical (sA2EN) </th> </tr> <tr> <th> </th> <th> MOI 10 </th> <th> PBS </th> <th> MOI 10 </th> <t...
PMC2717097_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th> Primer combinations used </th> <th> Size of the expected PCR product [bp] </th> <th> PCR product obtained </th> </tr> <tr> <td> GI1 </td> <td> GI1–1/GI1–2 </td> <td> 1,331 </td> <td> - </td> </tr> <tr> ...
PMC2717098_table_0
<table border="1" class="dataframe"> <tr> <th> Designation </th> <th> DNA-Sequence </th> </tr> <tr> <td> GI1-1 </td> <td> 5'-TAC GGA CCT TCT CGG CGG-3' </td> </tr> <tr> <td> GI1–2 </td> <td> 5'-GAC CCA AGG CAA GAC GCT G-3' </td> </tr> <tr> <td> GI1–3 </td> <td> ...
PMC2717098_table_1
<table border="1" class="dataframe"> <tr> <th> MIC Mutant </th> <th> Design Score </th> <th> SEC Binding </th> </tr> <tr> <td> N69Q_Q108L_Q120I_K154S_T155D </td> <td> -8.1 </td> <td> + </td> </tr> <tr> <td> N69Q_Q120I_K154S_T155D_Y157L </td> <td> -7.1 </td> ...
PMC2717102_table_0
<table border="1" class="dataframe"> <tr> <th> Origin </th> <th> Sequence </th> <th> Reference </th> </tr> <tr> <td> Plasma proteins </td> <td> </td> <td> </td> </tr> <tr> <td> Complement factor C3 </td> <td> LGEACKKVFLDCCNYITELRRQHARAS </td> <td> [13,14] </...
PMC2717103_table_0
<table border="1" class="dataframe"> <tr> <th> Causes </th> <th> number </th> <th> % </th> </tr> <tr> <td> ≥ BMI** 30 kg/m2 </td> <td> 3 </td> <td> 6.8 </td> </tr> <tr> <td> PEGs suture-free technique </td> <td> 6 </td> <td> 13.6 </td> </tr> <tr> <...
PMC2717113_table_0
<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> number </th> <th> % </th> </tr> <tr> <td> Gender </td> <td> </td> <td> </td> </tr> <tr> <td> Male </td> <td> 354 </td> <td> 81.4 </td> </tr> <tr> <td> Female </td> <td> 81 </t...
PMC2717113_table_1
<table border="1" class="dataframe"> <tr> <th> Author [ref] </th> <th> Year </th> <th> Gastropexy </th> <th> Antibiotics </th> <th> N </th> <th> Infection (N) </th> <th> Infection (%) </th> </tr> <tr> <td> Russell TR [12] </td> <td> 1984 </td> <td> ...
PMC2717113_table_2
<table border="1" class="dataframe"> <tr> <th> Characteristics </th> <th> Population* </th> <th> Episodes </th> <th> Period prevalence (%) [95% CI] </th> </tr> <tr> <td> </td> <td> 1,004 </td> <td> 170 </td> <td> 16.9 [14.7–19.4] </td> </tr> <tr> <td> Gende...
PMC2717114_table_0
<table border="1" class="dataframe"> <tr> <th> Alabama </th> <th> 0.309 </th> <th> Montana </th> <th> 0.277 </th> </tr> <tr> <td> Alaska </td> <td> 0.226 </td> <td> North Carolina </td> <td> 0.31 </td> </tr> <tr> <td> Arkansas </td> <td> 0.362 <...
PMC2717116_table_0
<table border="1" class="dataframe"> <tr> <th> Prostasin </th> <th> Healthy </th> <th> Cases </th> <th> </th> <th> </th> </tr> <tr> <td> </td> <td> </td> <td> Adenomas1 </td> <td> </td> <td> Carcinomas </td> </tr> <tr> <td> </td> <td> </td> <td> M...
PMC2717118_table_0
<table border="1" class="dataframe"> <tr> <th> Variable </th> <th> mRNA level in normal tissue Mean (SD) </th> <th> Pa </th> <th> mRNA level in adenomas/ carcinomas Mean (SD) </th> <th> Pa </th> <th> Pb </th> </tr> <tr> <td> Prostasin </td> <td> </td> <td> </t...
PMC2717118_table_1
<table border="1" class="dataframe"> <tr> <th> Probeset typea be </th> <th> Number of probesets </th> </tr> <tr> <td> Total number of probesets </td> <td> 61115 </td> </tr> <tr> <td> Cross-hybridizing (_s_at,_x_at,_a_at) </td> <td> 12704 </td> </tr> <tr> <td> Ambigu...
PMC2717122_table_0
<table border="1" class="dataframe"> <tr> <th> Gene </th> <th> Forward primer </th> <th> Reverse primer </th> <th> Product size (bp) </th> </tr> <tr> <td> ELF1 </td> <td> CAGATTGGCAACGGCTACG </td> <td> CGGACAGCAAAACGACCAAG </td> <td> 227 </td> </tr> <tr> <t...
PMC2717122_table_1
<table border="1" class="dataframe"> <tr> <th> Probeset </th> <th> Forward primer </th> <th> Reverse primer </th> <th> Product size (bp) </th> </tr> <tr> <td> Barley1 </td> <td> </td> <td> </td> <td> </td> </tr> <tr> <td> Contig8230 </td> <td> TACATGCTCTTG...
PMC2717122_table_2
<table border="1" class="dataframe"> <tr> <th> </th> <th> </th> <th> </th> <th> % Frequency </th> <th> </th> <th colspan="2"> Fisher’s exact </th> </tr> <tr> <th> Genes </th> <th> Method </th> <th> PT </th> <th> PN </th> <th> NN </th> <th> ap valu...
PMC2717211_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="3"> SFRP1 </th> <th colspan="3"> B4GALT1 </th> <th colspan="3"> OSMR </th> <th colspan="3"> SFRP1+OSMRd </th> </tr> <tr> <th> Clinical features </th> <th> (+) M </th> <th> % </th> <th> P value ...
PMC2717211_table_1
<table border="1" class="dataframe"> <tr> <th> Clinical features </th> <th> (+) M </th> <th> % </th> <th> eP value </th> <th> fP value </th> </tr> <tr> <td> Controlsa </td> <td> 4/81 </td> <td> 5 </td> <td> </td> <td> </td> </tr> <tr> <td> CRCb ...
PMC2717211_table_2
<table border="1" class="dataframe"> <tr> <th> Tissues </th> <th> Expression </th> <th> Tumor Grade </th> </tr> <tr> <td> Colon Cancer </td> <td> </td> <td> </td> </tr> <tr> <td> 1 </td> <td> - </td> <td> III </td> </tr> <tr> <td> 2 </td> <td> ...
PMC2717211_table_3
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Among Total Sample </th> <th colspan="3"> Among Ideators </th> </tr> <tr> <th> DSM-IV Disorders </th> <th> Ideation </th> <th> Attempt </th> <th> Plan </th> <th> Planned Attempt </th> <th> ...
PMC2717212_table_0
<table border="1" class="dataframe"> <tr> <th> </th> <th colspan="2"> Among Total Sample </th> <th colspan="3"> Among Ideators </th> </tr> <tr> <th> DSM-IV Disorders </th> <th> Ideation </th> <th> Attempt </th> <th> Plan </th> <th> Planned Attempt </th> <th> ...
PMC2717212_table_1