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...
Main Authors: | Holland, Christian H, Tanevski, Jovan, Perales-Patón, Javier, Gleixner, Jan, Kumar, Manu Prajapati, Mereu, Elisabetta, Joughin, Brian Alan, Stegle, Oliver, Lauffenburger, Douglas A, Heyn, Holger, Szalai, Bence, Saez-Rodriguez, Julio |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Biological Engineering |
Format: | Article |
Language: | English |
Published: |
BioMed Central
2020
|
Online Access: | https://hdl.handle.net/1721.1/126321 |
Similar Items
-
Analysis of Single-Cell RNA-Seq Identifies Cell-Cell Communication Associated with Tumor Characteristics
by: Du, Jinyan, et al.
Published: (2019) -
Computational analysis of cell-cell communication in the tumor microenvironment
by: Kumar, Manu Prajapati.
Published: (2019) -
SEQ2SEQ++: a multitasking-based seq2seq model to generate meaningful and relevant answers
by: Palasundram, Kulothunkan, et al.
Published: (2021) -
Advancing Seq2seq with Joint Paraphrase Learning
by: Min, So Yeon, et al.
Published: (2022) -
Massively parallel single-nucleus RNA-seq with DroNc-seq
by: Avraham-Davidi, Inbal, et al.
Published: (2018)