pEffect statistics

Tool stats & trends

Looking to identify usage trends or leading experts?

pEffect specifications

Information


Unique identifier OMICS_16017
Name pEffect
Interface Web user interface
Restrictions to use None
Input data A protein sequence (raw).
Input format FASTA-like (text)
Output data A sequence feature.
Output format TSV
Programming languages Java
License GNU General Public License version 2.0
Computer skills Basic
Stability Stable
Source code URL https://rostlab.org/owiki/index.php/Packages
Maintained Yes

Documentation


Maintainer


  • person_outline pEffect Team

pEffect citations

 (6)
library_books

Computational prediction shines light on type III secretion origins

2016
Sci Rep
PMCID: 5054392
PMID: 27713481
DOI: 10.1038/srep34516

[…] Our final method, pEffect, combined sequence similarity-based and de novo predictions. Toward this end, over-fitting was avoided through the simplest possible combination: if any known type III effector is sequence sim […]

library_books

Integrated Information and State Differentiation

2016
Front Psychol
PMCID: 4923128
PMID: 27445896
DOI: 10.3389/fpsyg.2016.00926

[…] r each state, the average must be similarly bounded.For the result on effect information, we define some preliminary notation. Enumerate the states of the system {sj, j = 1…2n} = ΩS, then define qk = peffect(sk|∅) (the unconstrained effect probability of state sk) and pjk = peffect(sk|sj) (the effect probability of state sk constrained on the current state being sj). Furthermore, define Ji = {j|sj […]

library_books

Effect modification by gender and smoking status on the association between obesity and atopic sensitization in Chinese adults: a hospital based case–control study

2014
BMC Public Health
PMCID: 4228147
PMID: 25344653
DOI: 10.1186/1471-2458-14-1105

[…] BMI classification and atopic sensitization in males and females. The strength of the association between obesity and atopic sensitization depended on sex with a significant sex-BMI interaction term (peffect modification  = 0.0414). Compared to men with normal BMI, obese men had a notably increased risk of atopic sensitization after adjusting for age, educational, family history, smoking and alcoh […]

library_books

Massive Withdrawal Symptoms and Affective Vulnerability Are Associated with Variants of the CHRNA4 Gene in a Subgroup of Smokers

2014
PLoS One
PMCID: 3907445
PMID: 24498031
DOI: 10.1371/journal.pone.0087141

[…] haplotypes in the total sample.In the next step phenotypic clusters were stepped into the model as dependent variables. In HapScore test effect of GCC haplotype was significantly associated with C3 (peffect = 0.002) and the model was also significant (pperm = 0.018). Consequently, GLM (general linear model) analysis revealed that odds ratio for having the C3 phenotype was almost three times highe […]

library_books

Hepatic Insulin Clearance Is Closely Related to Metabolic Syndrome Components

2013
PMCID: 3816867
PMID: 24026549
DOI: 10.2337/dc12-1203

[…] se insulin secretion only in the subjects with metabolic syndrome (r2 = 0.26, Pnonlin (P value for nonlinear model) <0.007, for HICC-peptide) ()—not in subjects without metabolic syndrome (r2 = 0.16, Peffect < 0.001, and r2 = 0.16, Pnonlin = 0.24, for HICC-peptide and r2 = 0.09, Peffect < 0.001, and r2 = 0.09, Pnonlin = 0.63, for HICISR) (). Again, the results remained significant after adjustment […]

library_books

The effects of oral iron supplementation on cognition in older children and adults: a systematic review and meta analysis

2010
PMCID: 2831810
PMID: 20100340
DOI: 10.1186/1475-2891-9-4

[…] ient people and six groups of those who were iron replete at baseline, see Figure . Overall there was no evidence of an effect of iron supplementation on intelligence (SMD 0.10, 95% CI -0.14 to 0.33, peffect = 0.43, n = 2365, I2 81%, pheterogeneity <0.00001), but there was evidence of an effect on people who were anaemic at baseline (SMD 0.54, 95% CI 0.26 to 0.81, peffect = 0.0002, n = 209, I2 0%, […]

Citations

Looking to check out a full list of citations?

pEffect reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review pEffect