The Gene Ontology Biological Process enrichment analysis on interacting human protein partners of HBV proteins using DAVID server.Ranjan Kumar BarmanSudipto SahaSantasabuj Das
Gene set enrichment analysis (GSEA) is a particularly successful approach that summarizes the putative importance of a biological process using an ensemble of expression levels for a set of genes documented to play a role in a specific process5. We propose transforming gene expression levels into ...
Gene Ontology (GO) analysis established that highly-connected proteins are likely to be engaged in higher level GO biological process terms, while low-... A Camargo,F Azuaje - 《Plos One》 被引量: 77发表: 2007年 An Ontology-Neutral Framework for Enrichment Analysis One way to gain insight ...
An improved Markov blanket discovery algorithm based on IMBDANET has been proposed and can effectively distinguish between direct and indirect regulatory genes from GN and reduce the false-positive rate in the network inference process36. Additionally, RWRNET is an algorithm of Random Walk with ...
Table S3 GO enrichment analysis by mean of Fisher’s exact test with the sets of up- regulated genes/locus (highly expressed in high-γ-decalactone pool) in comparison to general model of F. vesca. Category: P: Biological Process, F: ...
A biological process B molecular function C cell composition D KEGG enrichment analysis Full size image Comprehensive analysis of metabolomics and network pharmacology Metabolomics and network pharmacology were integrated to construct an interaction network. First, we introduced candidate metabolites from ...
GO enrichment of DEGs To reveal the function of DEGs, the top 10 Biological Processes (BP) of GO terms in Q9 and Atl were performed. At the early stage, the overrepresented GO terms in Q9 (Q1) included “proteolysis involved in cellular protein catabolic process”, “recognition of pollen”...
Here, we present an R package, clusterProfiler that automates the process of biological-term classification and the enrichment analysis of gene clusters. The analysis module and visualization module were combined into a reusable workflow. Currently, clusterProfiler supports three species, including humans...
Machine learning trims the peptide drug design process to a sweet spot Drugs that target peptide hormone receptors are of great interest in the treatment of type 2 diabetes. In spite of limited data and vast design spaces, a bespoke computational pipeline has designed peptides that target two re...
We generated a matrix of pathway-level single sample gene set enrichment analysis (ssGSEA) scores (n = 1,783 per tumor) as an initial framework for mapping the tumor activation status in a subset of the FOCUS10,11 clinical trial (ISRCTN79877428, n = 360 tumors; S:CORT cohort)...