Quantifying chromosomal instability from intratumoral karyotype diversity using agent-based modeling and Bayesian inference.

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Bibliographic Details
Title:	Quantifying chromosomal instability from intratumoral karyotype diversity using agent-based modeling and Bayesian inference.
Authors:	Lynch AR; Carbone Cancer Center, University of Wisconsin-Madison, Madison, United States.; McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, United States., Arp NL; Carbone Cancer Center, University of Wisconsin-Madison, Madison, United States., Zhou AS; Carbone Cancer Center, University of Wisconsin-Madison, Madison, United States.; McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, United States., Weaver BA; Carbone Cancer Center, University of Wisconsin-Madison, Madison, United States.; McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, United States.; Department of Cell and Regenerative Biology, University of Wisconsin, Madison, United States., Burkard ME; Carbone Cancer Center, University of Wisconsin-Madison, Madison, United States.; McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, United States.; Division of Hematology Medical Oncology and Palliative Care, Department of Medicine University of Wisconsin, Madison, United States.
Source:	ELife [Elife] 2022 Apr 05; Vol. 11. Date of Electronic Publication: 2022 Apr 05.
Publication Type:	Journal Article; Research Support, N.I.H., Extramural
Journal Info:	Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	2050-084X
DOI:	10.7554/eLife.69799