Scalable log-ratio lasso regression for enhanced microbial feature selection with FLORAL.

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Bibliographic Details
Title: Scalable log-ratio lasso regression for enhanced microbial feature selection with FLORAL.
Authors: Fei T; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA. Electronic address: feit1@mskcc.org., Funnell T; Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Los Angeles, CA, USA., Waters NR; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Raj SS; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Baichoo M; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Sadeghi K; Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Los Angeles, CA, USA., Dai A; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Miltiadous O; Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., Shouval R; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA., Lv M; Institute of Hematology, Peking University People's Hospital, Beijing, China., Peled JU; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA., Ponce DM; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA., Perales MA; Adult Bone Marrow Transplantation Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA; Department of Medicine, Weill Cornell Medical College, New York, NY, USA., Gönen M; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA., van den Brink MRM; Department of Hematology and Hematopoietic Cell Transplantation, City of Hope National Medical Center, Los Angeles, CA, USA; Hematologic Malignancies Research Institute, City of Hope National Medical Center, Los Angeles, CA, USA; Comprehensive Cancer Center, City of Hope National Medical Center, Los Angeles, CA, USA. Electronic address: mvandenbrink@coh.org.
Source: Cell reports methods [Cell Rep Methods] 2024 Nov 18; Vol. 4 (11), pp. 100899. Date of Electronic Publication: 2024 Nov 07.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918227360606676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2667-2375 (Electronic) Linking ISSN: 26672375 NLM ISO Abbreviation: Cell Rep Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2667-2375
DOI:10.1016/j.crmeth.2024.100899