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ALAN is a computational approach that interprets genomic findings in the context of tumor ecosystems
Autor:
Hannah E. Bergom, Ashraf Shabaneh, Abderrahman Day, Atef Ali, Ella Boytim, Sydney Tape, John R. Lozada, Xiaolei Shi, Carlos Perez Kerkvliet, Sean McSweeney, Samuel P. Pitzen, Megan Ludwig, Emmanuel S. Antonarakis, Justin M. Drake, Scott M. Dehm, Charles J. Ryan, Jinhua Wang, Justin Hwang
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-12 (2023)
Abstract Gene behavior is governed by activity of other genes in an ecosystem as well as context-specific cues including cell type, microenvironment, and prior exposure to therapy. Here, we developed the Algorithm for Linking Activity Networks (ALAN)
Externí odkaz:
https://doaj.org/article/beba2e91e3c64bb1936e18c40ebe3097