Article

Integrating genetic and gene expression data in network-based stratification analysis of cancers

2024-10-21

Abstract excerpt

Cancers are complex diseases that have heterogeneous genetic drivers and varying clinical outcomes. A critical area of cancer research is organizing patient cohorts into subtypes and associating subtypes with clinical and biological outcomes for more effective prognosis and treatment. Large-scale studies have collected a plethora of omics data across multiple tumor types. These studies provide an extensive dataset...

Topics

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

Identifiers and source

Literature Corpus work: d55c47f3-3a79-52b8-a6d3-e0e73042103d
DOI: 10.1101/2024.10.18.619017

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrating genetic and gene expression data in network-based stratification analysis of cancersDOI 10.1101/2024.10.18.619017Read

Network-based stratification of tumor mutations.Semantic proximity Read

Network based stratification of major cancers by integrating somatic mutation and gene expression data.Semantic proximity Read

Network-based stratification analysis of 13 major cancer types using mutations in panels of cancer genes.Semantic proximity Read

Multi-Omics Prognostic Marker Discovery and Survival Modeling: A Case Study on Pan-Cancer Survival Analyses in Women’s CancersSemantic proximity Read

Tumor characterization and stratification by integrated molecular profiles reveals essential pan-cancer featuresSemantic proximity Read

Pan-cancer evaluation of gene expression and somatic alteration data for cancer prognosis predictionSemantic proximity Read

Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survivalSemantic proximity Read

Multi-Omics Data Analysis Identifies Prognostic Biomarkers across CancersSemantic proximity Read

A Systems Biology Approach to Unveil Shared Therapeutic Targets and Pathological Pathways Across Major Human CancersSemantic proximity Read

Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survivalSemantic proximity Read

Deep learning based on multi-omics integration identifies potential therapeutic targets in breast cancerSemantic proximity Read

Precision Oncology: Targeting Genomic Alterations and Cancer Signaling with Integrative Multi-Omics, Deep Learning and Network Biology in Medical OncologySemantic proximity Read