scKINETICS: inference of regulatory velocity with single-cell transcriptomics data

Cassandra Burdziak(Memorial Sloan Kettering Cancer Center), Dana Pe’er(Memorial Sloan Kettering Cancer Center), Direna Alonso‐Curbelo(Institute for Research in Biomedicine), Chujun Zhao(Harvard–MIT Division of Health Sciences and Technology), Scott W. Lowe(Memorial Sloan Kettering Cancer Center), Doron Haviv
Bioinformatics
June 1, 2023
10.1093/bioinformatics/btad267
Cited by 27

Related Papers

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
|Cell|2018|1.9k
Chromosomal instability drives metastasis through a cytosolic DNA response
|Nature|2018|1.6k
Innate Immune Landscape in Early Lung Adenocarcinoma by Paired Single-Cell Analyses
|Cell|2017|1.2k
Control of the senescence-associated secretory phenotype by NF-κB promotes senescence and enhances chemosensitivity
|Genes & Development|2011|990
Toward understanding and exploiting tumor heterogeneity
|Nature Medicine|2015|770