Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

ADEPTUS: a discovery tool for disease prediction, enrichment and network analysis based on profiles from many diseases.

Bioinformatics (Oxford, England) - 1 Jun 2018

Amar David, Vizel Amir, Levy Carmit, Shamir Ron

Abstract excerpt

Motivation: Large-scale publicly available genomic data on many disease phenotypes could improve our understanding of the molecular basis of disease. Tools that undertake this challenge by jointly analyzing multiple phenotypes are needed. Results: ADEPTUS is a web-tool that enables various functional genomics analyses based on a high-quality curated database spanning >38, 000 gene expression profiles and >100...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Biological Ontologies
Share to Gene Expression Profiling

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation, Neoplastic

Share to Gene Regulatory Networks

Share to Genomics

Share to Melanoma

Share to Skin Neoplasms

Share to Software

Source

Identifiers

PMID: 29360930
DOI: 10.1093/bioinformatics/bty027

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

ADEPTUS: a discovery tool for disease prediction, enrichment and network analysis based on profiles from many diseases.PMID 29360930Read ↗

Integrated analysis of numerous heterogeneous gene expression profiles for detecting robust disease-specific biomarkers and proposing drug targets.Semantic proximity Read ↗

GenesetDiseaseDrugNetwork (GDDN): a web server for disease enrichment and drug prioritizationSemantic proximity Read ↗

Network-based characterization of disease-disease relationships in terms of drugs and therapeutic targets.Semantic proximity Read ↗

DSEATM: drug set enrichment analysis uncovering disease mechanisms by biomedical text mining.Semantic proximity Read ↗

GediNET- Discover Disease-Disease Gene Associations utilizing Knowledge-based Machine LearningSemantic proximity Read ↗

Multi-task analysis of gene expression data on cancer public datasetsSemantic proximity Read ↗

DISNOR: a disease network open resource.Semantic proximity Read ↗

PathScore: a web tool for identifying altered pathways in cancer dataSemantic proximity Read ↗

Discovery of novel therapeutic targets in cancer using patient-specific gene regulatory networksSemantic proximity Read ↗

TNMplot.com: a web tool for the comparison of gene expression in normal, tumor and metastatic tissuesSemantic proximity Read ↗

Disease networks and their contribution to disease understanding and drug repurposing: Evolution of the concept, techniques and data sourcesSemantic proximity Read ↗

A network-based drug repositioning infrastructure for precision cancer medicine through targeting significantly mutated genes in the human cancer genomes.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.