Computational prediction of inter-species relationships through omics data analysis and machine learning.

Leite, Diogo Manuel Carvalho; Brochet, Xavier; Resch, Grégory; Que, Yok-Ai; Neves, Aitana; Peña-Reyes, Carlos

Leite, Diogo Manuel Carvalho; Brochet, Xavier; Resch, Grégory; Que, Yok-Ai; Neves, Aitana; Peña-Reyes, Carlos.

Affiliation

Leite DMC; School of Business and Engineering Vaud (HEIG-VD), University of Applied Sciences Western Switzerland (HES-SO), Route. de Cheseaux 1, Yverdon-Les-Bains, 1400, Switzerland.
Brochet X; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Resch G; School of Business and Engineering Vaud (HEIG-VD), University of Applied Sciences Western Switzerland (HES-SO), Route. de Cheseaux 1, Yverdon-Les-Bains, 1400, Switzerland.
Que YA; SIB Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Neves A; Department of Fundamental Microbiology, University of Lausanne, Lausanne, 1015, Switzerland.
Peña-Reyes C; Department of Intensive Care Medicine, Bern University Hospital (Inselspital), Freiburgstrasse, Bern, 3010, Switzerland.

BMC Bioinformatics ; 19(Suppl 14): 420, 2018 Nov 20.

Article in En | MEDLINE | ID: mdl-30453987

Subject(s)

Computational Biology/methods; Data Analysis; Genomics; Machine Learning; Algorithms; Bacteria/virology; Bacteriophages/genetics; Proteins/chemistry; Species Specificity

Key words

Health; Machine learning; Phage-therapy; Supervised learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Computational Biology / Genomics / Machine Learning / Data Analysis Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2018 Document type: Article Affiliation country: Switzerland Country of publication: United kingdom

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