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pro vyhledávání: '"Dan Daniel Erdmann-Pham"'
Autor:
Dan Daniel Erdmann-Pham, Sanjit Singh Batra, Timothy K. Turkalo, James Durbin, Marco Blanchette, Iwei Yeh, Hunter Shain, Boris C. Bastian, Yun S. Song, Daniel S. Rokhsar, Dirk Hockemeyer
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-17 (2023)
Abstract Chromosomal rearrangements can initiate and drive cancer progression, yet it has been challenging to evaluate their impact, especially in genetically heterogeneous solid cancers. To address this problem we developed HiDENSEC, a new computati
Externí odkaz:
https://doaj.org/article/ed3755dd242a46369848794dde819c04
Publikováno v:
Journal of Mathematics in Industry. 6(1)
A wealth of problems occurring naturally in the applied sciences can be reformulated as optimization tasks whose argument is constrained to the solution set of a system of linear equations. Solving these efficiently typically requires computation of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b79e7287f37bbb691595a59d672a40f