Article

Bayesian Optimized sample-specific Networks Obtained By Omics data (BONOBO)

2023-11-17

Abstract excerpt

Gene regulatory networks (GRNs) are effective tools for inferring complex interactions between molecules that regulate biological processes and hence can provide insights into drivers of biological systems. Inferring co-expression networks is a critical element of GRN inference as the correlation between expression patterns may indicate that genes are coregulated by common factors. However, methods that estimate c...

Topics

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

Identifiers and source

Literature Corpus work: 401660a8-20b4-52ac-9e95-5bcbd30ee44d
DOI: 10.1101/2023.11.16.567119

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Bayesian Optimized sample-specific Networks Obtained By Omics data (BONOBO)DOI 10.1101/2023.11.16.567119Read

Constructing cancer patient-specific and group-specific gene networks with multi-omics dataSemantic proximity Read

Using Empirical Biological Knowledge to Infer Regulatory Networks From Multi-omics DataSemantic proximity Read

PIMO: Pathway-based Interpretable Multi-Omics interactions for multi-omics integrationSemantic proximity Read

Knowledge guided multi-level network inferenceSemantic proximity Read

Aggregation of <i>recount3</i> RNA-seq data improves inference of consensus and tissue-specific gene co-expression networksSemantic proximity Read

Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture modelSemantic proximity Read

Integrative Approaches to Reconstruct Regulatory Networks From Multi-Omics Data: A Review of State-of-the-Art MethodsSemantic proximity Read

Integrative, multi-omics, analysis of blood samples improves model predictions: applications to cancerSemantic proximity Read

DiNeR: a <i>Di</i> fferential Graphical Model for analysis of co-regulation <i>Ne</i> twork <i>R</i> ewiringSemantic proximity Read

Network reconstruction for trans acting genetic loci using multi-omics data and prior informationSemantic proximity Read

Quantitative omnigenic model discovers interpretable genome-wide associationsSemantic proximity Read

Unbiased identification of unknown cellular and environmental factors that mediate eQTLs using principal interaction component analysisSemantic proximity Read