Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

Robustness and applicability of transcription factor and pathway analysis tools on single-cell RNA-seq data

BACKGROUND: Many functional analysis tools have been developed to extract functional and mechanistic insight from bulk transcriptome data. With the advent of single-cell RNA sequencing (scRNA-seq), it is in principle possible to do such an analysis for single cells. However, scRNA-seq data has chara...

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Main Authors: Holland, Christian H (Author), Tanevski, Jovan (Author), Perales-Patón, Javier (Author), Gleixner, Jan (Author), Kumar, Manu Prajapati (Author), Mereu, Elisabetta (Author), Joughin, Brian Alan (Author), Stegle, Oliver (Author), Lauffenburger, Douglas A (Author), Heyn, Holger (Author), Szalai, Bence (Author), Saez-Rodriguez, Julio (Author)
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: BioMed Central, 2020-07-22T19:03:31Z.
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