Gene set analysis: challenges, opportunities, and future research

F Maleki, K Ovens, DJ Hogan, AJ Kusalik - Frontiers in genetics, 2020 - frontiersin.org
Gene set analysis methods are widely used to provide insight into high-throughput gene
expression data. There are many gene set analysis methods available. These methods rely …

Pharmacogenomics for the efficacy and side effects of antihistamines

L Li, R Liu, C Peng, X Chen, J Li - Experimental Dermatology, 2022 - Wiley Online Library
Antihistamines, especially H1 antihistamines, are widely used in the treatment of allergic
diseases such as urticaria and allergic rhinitis, mainly for reversing elevated histamine and …

The harmonizome: a collection of processed datasets gathered to serve and mine knowledge about genes and proteins

AD Rouillard, GW Gundersen, NF Fernandez… - Database, 2016 - academic.oup.com
Genomics, epigenomics, transcriptomics, proteomics and metabolomics efforts rapidly
generate a plethora of data on the activity and levels of biomolecules within mammalian …

iRegulon: from a gene list to a gene regulatory network using large motif and track collections

R Janky, A Verfaillie, H Imrichová… - PLoS computational …, 2014 - journals.plos.org
Identifying master regulators of biological processes and mapping their downstream gene
networks are key challenges in systems biology. We developed a computational method …

Profiling of discrete gynecological cancers reveals novel transcriptional modules and common features shared by other cancer types and embryonic stem cells

KI Pappa, A Polyzos, J Jacob-Hirsch, N Amariglio… - PloS one, 2015 - journals.plos.org
Studies on individual types of gynecological cancers (GCs), utilizing novel expression
technologies, have revealed specific pathogenetic patterns and gene markers for cervical …

Efficient test and visualization of multi-set intersections

M Wang, Y Zhao, B Zhang - Scientific reports, 2015 - nature.com
Identification of sets of objects with shared features is a common operation in all disciplines.
Analysis of intersections among multiple sets is fundamental for in-depth understanding of …

GSEA-InContext: identifying novel and common patterns in expression experiments

RK Powers, A Goodspeed, H Pielke-Lombardo… - …, 2018 - academic.oup.com
Abstract Motivation Gene Set Enrichment Analysis (GSEA) is routinely used to analyze and
interpret coordinate pathway-level changes in transcriptomics experiments. For an …

LINCS Canvas Browser: interactive web app to query, browse and interrogate LINCS L1000 gene expression signatures

Q Duan, C Flynn, M Niepel, M Hafner… - Nucleic acids …, 2014 - academic.oup.com
Abstract For the Library of Integrated Network-based Cellular Signatures (LINCS) project
many gene expression signatures using the L1000 technology have been produced. The …

Age-specific gene expression signatures for breast tumors and cross-species conserved potential cancer progression markers in young women

D Colak, A Nofal, AB AlBakheet, M Nirmal, H Jeprel… - PloS one, 2013 - journals.plos.org
Breast cancer in young women is more aggressive with a poorer prognosis and overall
survival compared to older women diagnosed with the disease. Despite recent research, the …

MetSigDis: a manually curated resource for the metabolic signatures of diseases

L Cheng, H Yang, H Zhao, X Pei, H Shi… - Briefings in …, 2019 - academic.oup.com
Complex diseases cannot be understood only on the basis of single gene, single mRNA
transcript or single protein but the effect of their collaborations. The combination …