Article

Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms

2021-03-02

Abstract excerpt

In this work, we attempt to address a key question in the joint analysis of transcriptomic data: can we correlate the patterns we observe in transcriptomic datasets to known molecular interactions and pathway knowledge to broaden our understanding of disease pathophysiology? We present a systematic approach that sheds light on the patterns observed in hundreds of transcriptomic datasets from over sixty indications...

Topics

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

Identifiers and source

Literature Corpus work: bfbb787b-9573-5122-a667-8462b8d8fa6f
DOI: 10.1101/2021.03.02.433520

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanismsDOI 10.1101/2021.03.02.433520Read

Towards a global investigation of transcriptomic signatures through co-expression networks and pathway knowledge for the identification of disease mechanisms.Semantic proximity Read

Integrative analysis to identify shared mechanisms between schizophrenia and bipolar disorder and their comorbiditiesSemantic proximity Read

Elucidating gene expression patterns across multiple biological contexts through a large-scale investigation of transcriptomic datasetsSemantic proximity Read

Comparative Pathway Integrator: a framework of meta-analytic integration of multiple transcriptomic studies for consensual and differential pathway analysisSemantic proximity Read

Multiome-wide Association Studies: Novel Approaches for Understanding Diseases.Semantic proximity Read

New insights into schizophrenia disease genes interactome in the human brain: emerging targets and therapeutic implications in the postgenomics era.Semantic proximity Read

DiseaseConnect: a comprehensive web server for mechanism-based disease-disease connections.Semantic proximity Read

Differential network analysis of human tissue interactomes highlights tissue-selective processes and genetic disorder genesSemantic proximity Read

Genetic and functional characterization of disease associations explains comorbidity.Semantic proximity Read

State of the Interactomes: an evaluation of molecular networks for generating biological insightsSemantic proximity Read

Integrated molecular, clinical, and ontological analysis identifies overlooked disease relationshipsSemantic proximity Read

Patient stratification reveals the molecular basis of disease comorbiditiesSemantic proximity Read