From noise to models to numbers: Evaluating negative binomial models and parameter estimations in single-cell RNA-seq.

Saved in:
Bibliographic Details
Title: From noise to models to numbers: Evaluating negative binomial models and parameter estimations in single-cell RNA-seq.
Authors: Wang Y; State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China., Shu Z; School of Electrical Engineering, Shanghai Dianji University, Shanghai, China., Cao Z; State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China.; Department of Chemical Engineering, Queen's University, Kingston, Canada., Grima R; School of Biological Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Mar 16; Vol. 22 (3), pp. e1014014. Date of Electronic Publication: 2026 Mar 16 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:1553-7358
DOI:10.1371/journal.pcbi.1014014