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

Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion.

Journal of computational biology : a journal of computational molecular cell biology - 1 Aug 2020

Duan Xin, Wang Kejun, Ke Jia, Lan Ping, Gao Feng, Wu Xiaojian

Abstract excerpt

Colorectal cancer (CRC) is a heterogeneous disease with distinct molecular properties. Tremendous works for CRC molecular subtyping are mainly based on gene expression profiling, which cannot capture the complementary information from other data types. Based on the classical multiomics data integration method similarity network fusion (SNF), which, however, suffers the trivial parameters setting, we developed...

Read the complete abstract on PubMed

Topics

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

Share to Biomarkers, Tumor
Share to Colorectal Neoplasms

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to CpG Islands

Share to DNA Methylation

Share to Gene Expression Regulation, Neoplastic

Share to MicroRNAs

Share to Microsatellite Instability

Share to Mutation

Source

Identifiers

PMID: 31800302
DOI: 10.1089/cmb.2019.0252

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion.PMID 31800302Read ↗

Benchmarking multi-omics integrative clustering methods for subtype identification in colorectal cancerSemantic proximity Read ↗

Multi-Affinity Network integration based on multi-omics data for tumor StratificationSemantic proximity Read ↗

MDICC: novel method for multi-omics data integration and cancer subtype identificationSemantic proximity Read ↗

Enhancing Chemotherapy Response Prediction via Matched Colorectal Tumor-Organoid Gene Expression Analysis and Network-Based Biomarker SelectionSemantic proximity Read ↗

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

Constructing cancer-specific patient similarity network with clinical significanceSemantic proximity Read ↗

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

Multi-Omics Data Fusion for Cancer Molecular Subtyping Using Sparse Canonical Correlation AnalysisSemantic proximity Read ↗

Integrative Network Fusion: a multi-omics approach in molecular profilingSemantic proximity Read ↗

Spatially aware graph neural networks and cross-level molecular profile prediction in colon cancer histopathology: a retrospective multi-cohort studySemantic proximity Read ↗

Constructing lncRNA functional similarity network based on lncRNA-disease associations and disease semantic similarity.Semantic proximity Read ↗

Predicting microRNA-disease associations using bipartite local models and hubness-aware regression.Semantic proximity Read ↗

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