CancerInSilico: An R/Bioconductor package for combining mathematical and statistical modeling to simulate time course bulk and single cell gene expression data in cancer - Fig 3
- Thomas D. Sherman (6615992)
- Luciane T. Kagohara (6615995)
- Raymon Cao (6615998)
- Raymond Cheng (1466227)
- Matthew Satriano (6616001)
- Michael Considine (5269832)
- Gabriel Krigsfeld (445907)
- Ruchira Ranaweera (5269829)
- Yong Tang (161879)
- Sandra A. Jablonski (6616004)
- Genevieve Stein-O'Brien (6616007)
- Daria A. Gaykalova (121387)
- Louis M. Weiner (506119)
- Christine H. Chung (242076)
- Elana J. Fertig (194738)
Publication date
April 2019
DOI Publisher
Public Library of Science (PLoS)Abstract
T-SNE of simulated time course single cell RNA-sequencing data for a population with cells of types A and B. Points colored by (a) cell type, (b) time, and (c) cell cycle phase.</p
Extracted data
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