Binomial models uncover biological variation during feature selection of droplet-based single-cell RNA sequencing.

Autor: Sparta B; Department of Integrative Biology and Physiology, University of California, Los Angeles, California, United States of America.; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America., Hamilton T; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America.; Bioinformatics Interdepartmental Program, University of California, Los Angeles, California, United States of America., Natesan G; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America., Aragones SD; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America., Deeds EJ; Department of Integrative Biology and Physiology, University of California, Los Angeles, California, United States of America.; Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, California, United States of America.

Publikováno v: PLoS computational biology [PLoS Comput Biol] 2024 Sep 06; Vol. 20 (9), pp. e1012386. Date of Electronic Publication: 2024 Sep 06 (Print Publication: 2024).