Discovering genetic biomarkers for targeted cancer therapeutics with eXplainable Artificial Intelligence
Cancer Commun (Lond)
.
2024 Apr 2.
doi: 10.1002/cac2.12530.
Online ahead of print.
Authors
Debaditya Chakraborty
1
,
Elizabeth Gutierrez-Chakraborty
2
,
Cristian Rodriguez-Aguayo
3
,
Hakan Başağaoğlu
4
,
Gabriel Lopez-Berestein
3
,
Paola Amero
3
Affiliations
1
School of Civil and Environmental Engineering and Construction Management, The University of Texas at San Antonio, San Antonio, Texas, USA.
2
Department of Cell Systems and Anatomy, University of Texas Health Science Center, San Antonio, Texas, USA.
3
Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
4
Edwards Aquifer Authority, San Antonio, Texas, USA.
PMID:
38566430
DOI:
10.1002/cac2.12530
No abstract available
Publication types
Letter
Grants and funding
P30 CA016672/CA/NCI NIH HHS/United States
P50 CA217685/CA/NCI NIH HHS/United States