EnGRaiN: a supervised ensemble learning method for recovery of large-scale gene regulatory networks

Abstract Motivation Reconstruction of genome-scale networks from gene expression data is an actively studied problem. A wide range of methods that differ between the types of interactions they uncover with varying trade-offs between sensitivity and specificity have been proposed. To leverage benefit...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Bioinformatics (Oxford, England) England), 2022-02, Vol.38 (5), p.1312-1319
Hauptverfasser:	Aluru, Maneesha, Shrivastava, Harsh, Chockalingam, Sriram P, Shivakumar, Shruti, Aluru, Srinivas
Format:	Artikel
Sprache:	eng
Schlagworte:	Arabidopsis - genetics Gene Regulatory Networks Genome Machine Learning Software
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!