CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer | Zendy

Thomas D. Sherman | Zendy; Luciane T. Kagohara | Zendy; Raymon Cao | Zendy; Raymond Cheng | Zendy; Matthew Satriano | Zendy; Michael Considine | Zendy; Gabriel Krigsfeld | Zendy; Ruchira S. Ranaweera | Zendy; Yong Tang | Zendy; Sandra A. Jablonski | Zendy; Genevieve Stein-O’Brien | Zendy; Daria A. Gaykalova | Zendy; Louis M. Weiner | Zendy; Christine H. Chung | Zendy; Elana J. Fertig | Zendy

Open Access

CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer

Author(s) -

Thomas D. Sherman,

Luciane T. Kagohara,

Raymon Cao,

Raymond Cheng,

Matthew Satriano,

Michael Considine,

Gabriel Krigsfeld,

Ruchira S. Ranaweera,

Yong Tang,

Sandra A. Jablonski,

Genevieve Stein-O’Brien,

Daria A. Gaykalova,

Louis M. Weiner,

Christine H. Chung,

Elana J. Fertig

Publication year - 2019

Publication title -

plos computational biology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.628

H-Index - 182

eISSN - 1553-7358

pISSN - 1553-734X

DOI - 10.1371/journal.pcbi.1006935

Subject(s) - bioconductor , benchmarking , benchmark (surveying) , computer science , ground truth , data set , data mining , set (abstract data type) , r package , expression (computer science) , bioinformatics , machine learning , biology , artificial intelligence , gene , computational science , programming language , genetics , geodesy , marketing , business , geography

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