Tumor heterogeneity assessed by sequencing and fluorescence in situ hybridization (FISH) data

Abstract Motivation Computational reconstruction of clonal evolution in cancers has become a crucial tool for understanding how tumors initiate and progress and how this process varies across patients. The field still struggles, however, with special challenges of applying phylogenetic methods to ca...

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Veröffentlicht in:	Bioinformatics 2021-12, Vol.37 (24), p.4704-4711
Hauptverfasser:	Lei, Haoyun, Gertz, E Michael, Schäffer, Alejandro A, Fu, Xuecong, Tao, Yifeng, Heselmeyer-Haddad, Kerstin, Torres, Irianna, Li, Guibo, Xu, Liqin, Hou, Yong, Wu, Kui, Shi, Xulian, Dean, Michael, Ried, Thomas, Schwartz, Russell
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Humans In Situ Hybridization, Fluorescence Neoplasms - pathology Original Papers Phylogeny Software
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