Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death process.

Shi, Jifan; Li, Tiejun; Chen, Luonan; Aihara, Kazuyuki

Shi, Jifan; Li, Tiejun; Chen, Luonan; Aihara, Kazuyuki.

Affiliation

Shi J; Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Li T; LMAM and School of Mathematical Sciences, Peking University, Beijing, China.
Chen L; Key Laboratory of Systems Biology, Center for Excellence in Molecular Cell Science, Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences, Shanghai, China.
Aihara K; Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.

PLoS Comput Biol ; 15(11): e1007488, 2019 11.

Article in En | MEDLINE | ID: mdl-31721764

Subject(s)

Computational Biology/methods; Sequence Analysis, RNA/methods; Systems Biology/methods; Algorithms; Animals; Cell Differentiation/physiology; Cluster Analysis; Gene Expression Profiling/methods; High-Throughput Nucleotide Sequencing/methods; Humans; Models, Theoretical; Pluripotent Stem Cells/physiology; RNA/genetics; Single-Cell Analysis/methods; Software

Fulltext

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Sequence Analysis, RNA / Computational Biology / Systems Biology Limits: Animals / Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2019 Type: Article Affiliation country: Japan

Fulltext

XML

PubMed Links

Search on Google