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Eleven grand challenges in single-cell data science

, , , , , , , , , , и . Genome biology, 21 (1): 1--35 (2020)

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Catalina Perlick

Miguel Gonzalez Vallejos

Germán Giácoman Vallejos

Catalina Sofia Meßmer

Catalina González Arango

 

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Eleven grand challenges in single-cell data science, , , , , , , , , и 1 other автор(ы). Genome biology, 21 (1): 1--35 (2020)Model updating after interventions paradoxically introduces bias., , , , , и . CoRR, (2020)SCRaPL: A Bayesian hierarchical framework for detecting technical associates in single cell multiomics data., , и . PLoS Comput. Biol., (2022)Model updating after interventions paradoxically introduces bias., , , , , и . AISTATS, том 130 из Proceedings of Machine Learning Research, стр. 3916-3924. PMLR, (2021)BASiCS: Bayesian Analysis of Single-Cell Sequencing Data., , и . PLoS Comput. Biol., (2015)Normalizing single-cell RNA sequencing data: challenges and opportunities, , , , и . Nature Methods, 14 (6): 565--571 (мая 2017)Design choices for productive, secure, data-intensive research at scale in the cloud., , , , , , , , , и 15 other автор(ы). CoRR, (2019)12 Grand Challenges in Single-Cell Data Science., , , , , , , , , и 41 other автор(ы). PeerJ Prepr., (2019)