Computational Stem Cell Biology: Open Questions and Guiding Principles

Patrick Cahan; Davide Cacchiarelli; Sara Jane Dunn; Martin Hemberg; Susana M.Chuva de Sousa Lopes; Samantha A. Morris; Owen J.L. Rackham; Antonio del Sol; Christine A. Wells

doi:10.1016/j.stem.2020.12.012

Computational Stem Cell Biology: Open Questions and Guiding Principles

Patrick Cahan, Davide Cacchiarelli, Sara Jane Dunn, Martin Hemberg, Susana M.Chuva de Sousa Lopes, Samantha A. Morris, Owen J.L. Rackham, Antonio del Sol, Christine A. Wells

Research output: Contribution to journal › Review article › peer-review

22 Scopus citations

Abstract

Cahan and colleagues analyze how computational principles are best applied to stem cell biology. They focus on cell typing, lineage tracing, trajectory inference, and regulatory networks as examples articulating principles that have guided computational biology broadly and call for renewed attention to these principles as applied in stem cell research.

Original language	English
Pages (from-to)	20-32
Number of pages	13
Journal	Cell Stem Cell
Volume	28
Issue number	1
DOIs	https://doi.org/10.1016/j.stem.2020.12.012
State	Published - Jan 7 2021

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abstract = "Cahan and colleagues analyze how computational principles are best applied to stem cell biology. They focus on cell typing, lineage tracing, trajectory inference, and regulatory networks as examples articulating principles that have guided computational biology broadly and call for renewed attention to these principles as applied in stem cell research.",

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AU - de Sousa Lopes, Susana M.Chuva

AU - Morris, Samantha A.

AU - Rackham, Owen J.L.

AU - del Sol, Antonio

AU - Wells, Christine A.

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Computational Stem Cell Biology: Open Questions and Guiding Principles

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