Article

RNAcare: Integrating Clinical Data with Transcriptomic Evidence using Rheumatoid Arthritis as a Case Study

2025-02-05

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Gene expression analysis is a crucial tool for uncovering the biological mechanisms that underlie differences between patient subgroups, offering insights that can inform clinical decisions. However, despite its potential, gene expression analysis remains challenging for clinicians due to the specialised skills required to access, integrate, and analyse large datasets. Exist...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 76140412-5f75-5a3c-a014-31cc510a3099
DOI: 10.1101/2025.01.31.635914

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

RNAcare: Integrating Clinical Data with Transcriptomic Evidence using Rheumatoid Arthritis as a Case StudyDOI 10.1101/2025.01.31.635914Read

RNAcompare: Integrating machine learning algorithms to unveil the similarities of phenotypes based on patients’ clinical, multi-omics using Rheumatoid Arthritis and Heart Failure as Case StudiesSemantic proximity Read

OmicsView: omics data analysis through interactive visual analyticsSemantic proximity Read

Harnessing gene-gene interactions via an RNA-Sequencing network analysis framework improves precision medicine prediction in rheumatoid arthritisSemantic proximity Read

VIBE: An R-package for advanced RNA-seq data exploration, disease stratification and therapeutic targetingSemantic proximity Read

Synovial Transcriptome Profiling for Predicting Biological Treatment Response in Rheumatoid Arthritis: A Feasibility studySemantic proximity Read

EGIDExpress: An Interactive Shiny Web App to Visualize and Share Large Biological DatasetsSemantic proximity Read

Rnalys: An Interactive Web Application for Transcriptomic Data Analysis and VisualizationSemantic proximity Read

The usage of transcriptomics datasets as sources of Real-World Data for clinical triallingSemantic proximity Read

Machine Learning Reveals Synovial Fibroblast Genes Associated with Pain Affect Sensory Nerve Growth in Rheumatoid ArthritisSemantic proximity Read

RNAchat: Integrating machine learning algorithms to identify metapathways based on clinical and multi-omics dataSemantic proximity Read

ideal: an R/Bioconductor package for Interactive Differential Expression AnalysisSemantic proximity Read

Identification of Three Rheumatoid Arthritis Disease Subtypes by Machine Learning Integration of Synovial Histologic Features and RNA Sequencing DataSemantic proximity Read