Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference Algorithms

Evaluating the Reproducibility of Single-Cell Gene Regulatory Network Inference Algorithms

Networks are powerful tools to represent and investigate biological systems. The development of algorithms inferring regulatory interactions from functional genomics data has been an active area of research. With the advent of single-cell RNA-seq data (scRNA-seq), numerous methods specifically desig...

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Bibliographic Details
Main Authors: Yoonjee Kang, Denis Thieffry, Laura Cantini
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-03-01
Series:Frontiers in Genetics
Subjects:
biological networks
scRNA-seq
single-cell
transcriptome
network inference
network theory
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2021.617282/full

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