Bayesian information sharing enhances detection of regulatory associations in rare cell types

MOTIVATION: Recent advances in single-cell RNA-sequencing (scRNA-seq) technologies promise to enable the study of gene regulatory associations at unprecedented resolution in diverse cellular contexts. However, identifying unique regulatory associations observed only in specific cell types or conditi...

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Gorde:
Xehetasun bibliografikoak
Argitaratua izan da:Bioinformatics
Egile Nagusiak: Wu, Alexander P, Peng, Jian, Berger, Bonnie, Cho, Hyunghoon
Formatua: Artigo
Hizkuntza:Inglês
Argitaratua: Oxford University Press 2021
Gaiak:
Regulatory and Functional Genomics
Sarrera elektronikoa:https://ncbi.nlm.nih.gov/pmc/articles/PMC8275330/
https://ncbi.nlm.nih.gov/pubmed/34252956
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btab269
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