Article

An Entropy-based Directed Random Walk for Pathway Activity Inference Using Topological Importance and Gene Interactions

2021-11-05

Abstract excerpt

The integration of microarray technologies and machine learning methods has become popular in predicting pathological condition of diseases and discovering risk genes. The traditional microarray analysis considers pathways as simple gene sets, treating all genes in the pathway identically while ignoring the pathway network’s structure information. This study, however, proposed an entropy-based directed random walk...

Topics

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

Identifiers and source

Literature Corpus work: 69695ef3-61b1-54aa-9056-f21c8ece67e4
DOI: 10.1101/2021.11.05.467449

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An Entropy-based Directed Random Walk for Pathway Activity Inference Using Topological Importance and Gene InteractionsDOI 10.1101/2021.11.05.467449Read

Topologically inferring risk-active pathways toward precise cancer classification by directed random walkSemantic proximity Read

Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancerSemantic proximity Read

Detecting pathway biomarkers of diabetic progression with differential entropy.Semantic proximity Read

BNrich: A Bayesian network approach to the pathway enrichment analysisSemantic proximity Read

PathWalks: Identifying pathway communities using a disease-related map of integrated informationSemantic proximity Read

A network-based dynamic criterion for early warning signal discovery: Prediction and early diagnosis for lung adenocarcinomaSemantic proximity Read

Identifying the critical states and dynamic network biomarkers of cancers based on network entropySemantic proximity Read

Laplacian normalization and random walk on heterogeneous networks for disease-gene prioritization.Semantic proximity Read

Identification of informative genes and sub-pathways using Improved Differential Expression Analysis for Pathways (iDEAP) for cancer classificationSemantic proximity Read

An efficient strategy for identifying cancer-related key genes based on graph entropy.Semantic proximity Read

LAMP: disease classification derived from layered assessment on modules and pathways in the human gene networkSemantic proximity Read

Gene Expression Network Analysis (GENA) – A Biostatistical Method to Unravel Intricate Relationships Between GenesSemantic proximity Read