CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer
Thomas D. Sherman, Luciane Tsukamoto Kagohara, Raymon Cao, Raymond Cheng, Matthew Satriano, Michael Considine, Gabriel S. Krigsfeld, Ruchira S. Ranaweera, Yong Tang, Sandra A. Jablonski, Genevieve Stein-O’Brien, Daria A. Gaykalova, Louis M. Weiner, Christine H. Chung, Elana Judith Fertig
CancerInSilico simulates bulk and single-cell gene expression data from mathematical models to enable benchmarking of time course analysis methods with known ground truth.
PLoS Computational Biology · Apr 19, 2019Peer-reviewedSystems Biology