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pro vyhledávání: '"Kunes, Russell Zhang"'
Autor:
Haviv, Doron, Kunes, Russell Zhang, Dougherty, Thomas, Burdziak, Cassandra, Nawy, Tal, Gilbert, Anna, Pe'er, Dana
Optimal transport (OT) and the related Wasserstein metric (W) are powerful and ubiquitous tools for comparing distributions. However, computing pairwise Wasserstein distances rapidly becomes intractable as cohort size grows. An attractive alternative
Externí odkaz:
http://arxiv.org/abs/2404.09411
Autor:
Haviv D; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.; Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine., Kunes RZ; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.; Department of Statistics, Columbia University., Dougherty T; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.; Tri-Institutional Training Program in Computational Biology and Medicine, Weill Cornell Medicine., Burdziak C; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center., Nawy T; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center., Gilbert A; Department of Mathematics and Statistics, Yale University., Pe'er D; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.; Howard Hughes Medical Institute.
Publikováno v:
ArXiv [ArXiv] 2024 Jun 04. Date of Electronic Publication: 2024 Jun 04.