Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data | Zendy

Camila P. E. de Souza | Zendy; Mirela Andronescu | Zendy; Tehmina Masud | Zendy; Farhia Kabeer | Zendy; Justina Biele | Zendy; Emma Laks | Zendy; Daniel Lai | Zendy; Patricia Ye | Zendy; Jazmine Brimhall | Zendy; Beixi Wang | Zendy; Edmund Su | Zendy; Tony Hui | Zendy; Qi Cao | Zendy; Marcus Wong | Zendy; Michelle Moksa | Zendy; Richard A. Moore | Zendy; Martin Hirst | Zendy; Samuel Aparício | Zendy; Sohrab P. Shah | Zendy

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Epiclomal: Probabilistic clustering of sparse single-cell DNA methylation data

Author(s) -

Camila P. E. de Souza,

Mirela Andronescu,

Tehmina Masud,

Farhia Kabeer,

Justina Biele,

Emma Laks,

Daniel Lai,

Patricia Ye,

Jazmine Brimhall,

Beixi Wang,

Edmund Su,

Tony Hui,

Qi Cao,

Marcus Wong,

Michelle Moksa,

Richard A. Moore,

Martin Hirst,

Samuel Aparício,

Sohrab P. Shah

Publication year - 2020

Publication title -

plos computational biology

Language(s) - Uncategorized

Resource type - Journals

SCImago Journal Rank - 2.628

H-Index - 182

eISSN - 1553-7358

pISSN - 1553-734X

DOI - 10.1371/journal.pcbi.1008270

Subject(s) - cluster analysis , cpg site , probabilistic logic , dna methylation , computational biology , biology , genome , hierarchical clustering , python (programming language) , dna sequencing , methylation , genetics , computer science , dna , gene , artificial intelligence , gene expression , operating system

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