Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nicole Maeser"'
Publikováno v:
BioMedInformatics, Vol 4, Iss 2, Pp 1363-1383 (2024)
As artificial intelligence (AI) integrates within the intersecting domains of healthcare and computational biology, developing interpretable models tailored to medical contexts is met with significant challenges. Explainable AI (XAI) is vital for fos
Externí odkaz:
https://doaj.org/article/b455091d640b4e438bf515c6556b812a
Autor:
Zicheng Wang, Yunong Xia, Lauren Mills, Athanasios N. Nikolakopoulos, Nicole Maeser, Scott M. Dehm, Jason M. Sheltzer, Ruping Sun
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract The timing and fitness effect of somatic copy number alterations (SCNA) in cancer evolution remains poorly understood. Here we present a framework to determine the timing of a clonal SCNA that encompasses multiple gains. This involves calcul
Externí odkaz:
https://doaj.org/article/a2aa4e2c332c42c18d976ced25f4b625
Publikováno v:
STAR Protocols, Vol 4, Iss 1, Pp 101927- (2023)
Summary: A common technique for uncovering intra-tumor genomic heterogeneity (ITH) is variant detection. However, it can be challenging to reliably characterize ITH given uneven sample quality (e.g., depth of coverage, tumor purity, and subclonality)
Externí odkaz:
https://doaj.org/article/ec2efb838ccb4eeab2bd0efbe10b0b66
Autor:
Zicheng Wang, Yunong Xia, Lauren Mills, Athanasios N. Nikolakopoulos, Nicole Maeser, Jason M. Sheltzer, Ruping Sun
Charting the evolutionary history of rampant somatic copy number alterations (SCNA) is an indispensable step toward a deeper understanding of their roles in tumor development. However, the existing SCNA timing analysis is limited to low copy number s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ffe15147d128ec384e3686ddd4f5ae3
https://doi.org/10.1101/2022.06.14.495959
https://doi.org/10.1101/2022.06.14.495959