Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming-Reference-Cited by-同舟云学术

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Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming

Published:2019-02 Issue:4 Volume:176 Page:928-943.e22
ISSN:0092-8674
Container-title:Cell
language:en
Short-container-title:Cell

Author:

Schiebinger Geoffrey,Shu Jian,Tabaka Marcin,Cleary Brian,Subramanian Vidya,Solomon Aryeh,Gould Joshua,Liu Siyan,Lin Stacie,Berube Peter,Lee Lia,Chen Jenny,Brumbaugh Justin,Rigollet Philippe,Hochedlinger Konrad,Jaenisch Rudolf,Regev Aviv,Lander Eric S.

Funder

Broad Institute

NIH

Helen Hay Whitney Foundation

Klarman Cell Observatory

Burroughs Wellcome Fund

NSF

ONR

CZI

MIT Skoltech Seed Fund

Publisher

Elsevier BV

Subject

General Biochemistry, Genetics and Molecular Biology

Reference74 articles.

1. TGF-beta in neural stem cells and in tumors of the central nervous system;Aigner;Cell Tissue Res.,2008

2. Gradient Flows in Metric Spaces and in the Space of Probability Measures;Ambrosio,2008

3. Sequential expression of pluripotency markers during direct reprogramming of mouse somatic cells;Brambrink;Cell Stem Cell,2008

4. Integrating single-cell transcriptomic data across different conditions, technologies, and species;Butler;Nat. Biotechnol.,2018

5. Integrative Analyses of Human Reprogramming Reveal Dynamic Nature of Induced Pluripotency;Cacchiarelli;Cell,2015

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