Article

Bioinformatics approach to identifying molecular biomarkers and networks in multiple sclerosis

2010-08-31

Abstract excerpt

Abstract Multiple sclerosis (MS) is an inflammatory demyelinating disease of the central nervous system (CNS) white matter mediated by an autoimmune process triggered by a complex interplay between genetic and environmental factors, in which the precise molecular pathogenesis remains to be comprehensively characterized. The global analysis of genome, transcriptome, proteome and metabolome, collectively termed omic...

Topics

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

Identifiers and source

Literature Corpus work: 08504228-0df0-5aef-b833-dddc2c6844cf
DOI: 10.1111/j.1759-1961.2010.00013.x

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Bioinformatics approach to identifying molecular biomarkers and networks in multiple sclerosisDOI 10.1111/j.1759-1961.2010.00013.xRead

Integrative analysis of Multiple Sclerosis using a systems biology approachSemantic proximity Read

Multi-omics integration prioritizes potential drug targets for multiple sclerosisSemantic proximity Read

Network-based analysis of differentially expressed genes in cerebrospinal fluid (CSF) and blood reveals new candidate genes for multiple sclerosisSemantic proximity Read

Genomic, proteomic, and systems biology approaches in biomarker discovery for multiple sclerosisSemantic proximity Read

Unveiling the Molecular Landscape: Network Analysis of Genes, Proteins, and Transcription Factors in Primary Progressive and Secondary Progressive Multiple Sclerosis for Unraveling Disease Progression and Prognostic FactorsSemantic proximity Read

Identification of candidate biomarkers and pathways associated with multiple sclerosis using bioinformatics and next generation sequencing data analysisSemantic proximity Read

Investigation of multiple sclerosis-related pathways through the integration of genomic and proteomic data.Semantic proximity Read

Omics approaches to understanding the efficacy and safety of disease-modifying treatments in multiple sclerosisSemantic proximity Read

Disentangling multiple sclerosis phenotypes through Mendelian disorders: A network approach.Semantic proximity Read

United Europeans for development of pharmacogenomics in multiple sclerosis network.Semantic proximity Read

Integration of Genetic and Immune Infiltration Insights into Data Mining of Multiple Sclerosis PathogenesisSemantic proximity Read

Identification of blood-derived candidate gene markers and a new 7-gene diagnostic model for multiple sclerosisSemantic proximity Read