Article

DysRegNet: Patient-specific and confounder-aware dysregulated network inference

2022-05-01

Abstract excerpt

Gene regulation is frequently altered in diseases in unique and patient-specific ways. Hence, personalized strategies have been proposed to infer patient-specific gene-regulatory networks. However, existing methods do not scale well as they often require recomputing the entire network per sample. Moreover, they do not account for clinically important confounding factors such as age, sex, or treatment history. Fina...

Topics

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

Identifiers and source

Literature Corpus work: 509b8d65-02e9-5d85-9c37-9e49e020b354
DOI: 10.1101/2022.04.29.490015

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

DysRegNet: Patient-specific and confounder-aware dysregulated network inferenceDOI 10.1101/2022.04.29.490015Read

Causal assessment of gene regulatory network in single-cell transcriptomics data based on Bayesian networksSemantic proximity Read

Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer study.Semantic proximity Read

Evaluation of single-sample network inference methods for precision oncologySemantic proximity Read

Inference of phenotype-relevant transcriptional regulatory networks elucidates cancer type-specific regulatory mechanisms in a pan-cancer studySemantic proximity Read

scHumanNet: a single-cell network analysis platform for the study of cell-type specificity of disease genesSemantic proximity Read

<i>corto</i> : a lightweight R package for Gene Network Inference and Master Regulator AnalysisSemantic proximity Read

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

White-box Deep Neural Network Prediction of Genome-Wide Transcriptome SignaturesSemantic proximity Read

Population-level comparisons of gene regulatory networks modeled on high-throughput single-cell transcriptomics dataSemantic proximity Read

GRAND: A database of gene regulatory network models across human conditionsSemantic proximity Read

Predicting genotype-specific gene regulatory networksSemantic proximity Read

<i>PatientProfiler:</i> A network-based approach to personalized medicineSemantic proximity Read