📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

DEGGs: an R package with shiny app for the identification of differentially expressed gene-gene interactions in high-throughput sequencing data. (2023)

First Author: Sciacca E

Attributed to: MICA: Development and Validation of a Transcriptomic-Based Model for Classifying and Predicting Treatment Response in Rheumatoid Arthritis (TRACT-RA) funded by MRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1093/bioinformatics/btad192

PubMed Identifier: 37084249

Publication URI: http://europepmc.org/abstract/MED/37084249

Type: Journal Article/Review

Volume: 39

Parent Publication: Bioinformatics (Oxford, England)

Issue: 4

ISSN: 1367-4803