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

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

Bioinformatics techniques to analyze time course bulk and single cell omics data are advancing. The absence of a known ground truth of the dynamics of molecular changes challenges benchmarking their performance on real data. Realistic simulated time-course datasets are essential to assess the perfor...

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Bibliographic Details
Main Authors: Thomas D Sherman, Luciane T Kagohara, Raymon Cao, Raymond Cheng, Matthew Satriano, Michael Considine, Gabriel Krigsfeld, Ruchira Ranaweera, Yong Tang, Sandra A Jablonski, Genevieve Stein-O'Brien, Daria A Gaykalova, Louis M Weiner, Christine H Chung, Elana J Fertig
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2018-06-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1006935

Internet

https://doi.org/10.1371/journal.pcbi.1006935

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