Article

Evaluating the reproducibility of single-cell gene regulatory network inference algorithms

2020-11-10

Abstract excerpt

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 designed to take advantage of single-cell datasets have been proposed. However, published benchmarks on single-cell networ...

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Literature Corpus work: 32dd1468-b77e-59f8-89fc-4e9ef4d631dd
DOI: 10.1101/2020.11.10.375923

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