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Sparse least trimmed squares regression with compositional covariates for high-dimensional data.
Monti, Gianna Serafina; Filzmoser, Peter.
Affiliation
  • Monti GS; Department of Economics, Management and Statistics, University of Milano-Bicocca, 20126 Milano, Italy.
  • Filzmoser P; Institute of Statistics & Mathematical Methods in Economics, Vienna University of Technology, 1040 Vienna, Austria.
Bioinformatics ; 37(21): 3805-3814, 2021 11 05.
Article in En | MEDLINE | ID: mdl-34358286
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microbiota / Gastrointestinal Microbiome Type of study: Prognostic_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Italy
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Microbiota / Gastrointestinal Microbiome Type of study: Prognostic_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2021 Type: Article Affiliation country: Italy