Article

Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model

2021-12-17

Abstract excerpt

Comprehensive molecular characterization of cancer subtypes is essential for predicting clinical outcomes and searching for personalized treatments. We present bnClustOmics, a statistical model and computational tool for multi-omics unsupervised clustering, which serves a dual purpose: Clustering patient samples based on a Bayesian network mixture model and learning the networks of omics variables representing the...

Topics

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

Identifiers and source

Literature Corpus work: dcef0fef-46b2-5549-b5eb-743608d2412a
DOI: 10.1101/2021.12.16.473083

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture modelDOI 10.1101/2021.12.16.473083Read

BiCoN: Network-constrained biclustering of patients and omics dataSemantic proximity Read

A supervised Bayesian factor model for the identification of multi-omics signaturesSemantic proximity Read

MONET: Multi-omic patient module detection by omic selectionSemantic proximity Read

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

PACMOS: an R package for Projection And Classification of Multi-Omic SamplesSemantic proximity Read

A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classificationSemantic proximity Read

A multi-omics data simulator for complex disease studies and its application to evaluate multi-omics data analysis methods for disease classificationSemantic proximity Read

Flexible model-based clustering of mixed binary and continuous data: application to genetic regulation and cancer.Semantic proximity Read

Identification of Cancer Risk Groups through Multi-Omics Integration using Autoencoder and Tensor AnalysisSemantic proximity Read

Decoding Liver Cancer Prognosis: From Multi-omics Subtypes, Prognostic Models to Single Cell ValidationSemantic proximity Read

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

Multi-Omics factor analysis - a framework for unsupervised integration of multi-omic data setsSemantic proximity Read