A multi-cohort and multi-omics meta-analysis framework to identify network-based gene signatures

A Shafi, T Nguyen, A Peyvandipour, H Nguyen… - Frontiers in …, 2019 - frontiersin.org
Although massive amounts of condition-specific molecular profiles are being accumulated in
public repositories every day, meaningful interpretation of these data remains a major …

GSMA: an approach to identify robust global and test Gene Signatures using Meta-Analysis

A Shafi, T Nguyen, A Peyvandipour, S Draghici - Bioinformatics, 2020 - academic.oup.com
Motivation Recent advances in biomedical research have made massive amount of
transcriptomic data available in public repositories from different sources. Due to the …

Signaling pathway impact analysis by incorporating the importance and specificity of genes (SPIA-IS)

H Fang, X Li, X Zan, L Shen, R Ma, W Liu - Computational biology and …, 2017 - Elsevier
Abstract rlying biology of differentially expressed genes and proteins. Although various
approaches have been proposed to identify cancer-related pathways, most of them only …

GeneSurrounder: network-based identification of disease genes in expression data

SD Shah, R Braun - BMC bioinformatics, 2019 - Springer
Background A key challenge of identifying disease–associated genes is analyzing
transcriptomic data in the context of regulatory networks that control cellular processes in …

Statistical Methods for the Network-Based Analysis of Genomic Data

SD Shah - 2019 - search.proquest.com
The focus of this thesis is on evaluating, designing, and applying statistical methods that
elucidate molecular mechanisms by seeking to understand the pathways that contribute to …

Network-based identification of disease genes in expression data: the GeneSurrounder method

SD Shah, R Braun - arXiv preprint arXiv:1705.10922, 2017 - arxiv.org
The advent of high--throughput transcription profiling technologies has enabled
identification of genes and pathways associated with disease, providing new avenues for …