- Title: Subtitle
- TEAPOT, a quantitative approach to address intra-tumor heterogeneity by identifying driver mutations in cancer cell subpopulations
- Creators
- Jianshu Zhang - Immortagen, Coralville, IA;Helaman Escobar - Intermountain Precision Genomics, St George, UT;Yang Wei - University of IowaMickey Miller - Intermountain Precision Genomics, St George, UT;Harshmi Shah - Immortagen, Coralville, IA;Michelle Knirr - University of IowaBaoli Yang - Immortagen, Coralville, IA;Eric Devor - University of IowaKristina Thiel - University of IowaLincoln Nadauld - Intermountain Precision Genomics, St George, UT;Donghai Dai - University of Iowa
- Resource Type
- Abstract
- Publication Details
- Journal of clinical oncology, Vol.36(15_suppl), pp.e24215-e24215
- DOI
- 10.1200/JCO.2018.36.15_suppl.e24215
- ISSN
- 0732-183X
- eISSN
- 1527-7755
- Language
- English
- Date published
- 05/20/2018
- Academic Unit
- Obstetrics and Gynecology; BioVentures Center
- Record Identifier
- 9984317117902771
Abstract
TEAPOT, a quantitative approach to address intra-tumor heterogeneity by identifying driver mutations in cancer cell subpopulations
Journal of clinical oncology, Vol.36(15_suppl), pp.e24215-e24215
05/20/2018
DOI: 10.1200/JCO.2018.36.15_suppl.e24215
Details
Metrics
7 Record Views