Improving deconvolution methods in biology through open innovation competitions: an application to the connectivity map

MOTIVATION: Do machine learning methods improve standard deconvolution techniques for gene expression data? This article uses a unique new dataset combined with an open innovation competition to evaluate a wide range of approaches developed by 294 competitors from 20 countries. The competition’s obj...

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Detalles Bibliográficos
Autores principales: Blasco, Andrea, Natoli, Ted, Endres, Michael G, Sergeev, Rinat A, Randazzo, Steven, Paik, Jin H, Macaluso, N J Maximilian, Narayan, Rajiv, Lu, Xiaodong, Peck, David, Lakhani, Karim R, Subramanian, Aravind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479655/
https://www.ncbi.nlm.nih.gov/pubmed/33824954
http://dx.doi.org/10.1093/bioinformatics/btab192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8479655/
https://www.ncbi.nlm.nih.gov/pubmed/33824954
http://dx.doi.org/10.1093/bioinformatics/btab192

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