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Enhanced Feature Selection for Microbiome Data using FLORAL: Scalable Log-ratio Lasso Regression.
Fei, Teng; Funnell, Tyler; Waters, Nicholas R; Raj, Sandeep S; Sadeghi, Keimya; Dai, Anqi; Miltiadous, Oriana; Shouval, Roni; Lv, Meng; Peled, Jonathan U; Ponce, Doris M; Perales, Miguel-Angel; Gönen, Mithat; van den Brink, Marcel R M.
Afiliación
  • Fei T; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center.
  • Funnell T; Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.
  • Waters NR; Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.
  • Raj SS; Department of Medicine, Memorial Sloan Kettering Cancer Center.
  • Sadeghi K; Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.
  • Dai A; Department of Immunology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center.
  • Miltiadous O; Department of Pediatrics, Memorial Sloan Kettering Cancer Center.
  • Shouval R; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center.
  • Lv M; Department of Medicine, Weill Cornell Medical College.
  • Peled JU; Institute of Hematology, Peking University People's Hospital.
  • Ponce DM; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center.
  • Perales MA; Department of Medicine, Weill Cornell Medical College.
  • Gönen M; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center.
  • van den Brink MRM; Department of Medicine, Weill Cornell Medical College.
bioRxiv ; 2023 Dec 18.
Article en En | MEDLINE | ID: mdl-37205350
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article