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Boosting predictive models and augmenting patient data with relevant genomic and pathway information.

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Bibliographic Details
Title:	Boosting predictive models and augmenting patient data with relevant genomic and pathway information.
Authors:	Buosi S; Data Science Institute, University of Galway, University Road, H91 TK33, Co. Galway, Ireland. Electronic address: samuele.buosi@universityofgalway.ie., Timilsina M; Data Science Institute, University of Galway, University Road, H91 TK33, Co. Galway, Ireland., Torrente M; Medical Oncology Department, Hospital Universitario Puerta de Hierro Majadahonda, C. Joaquín Rodrigo, 1, Majadahonda, Madrid, 28222, Spain., Provencio M; Medical Oncology Department, Hospital Universitario Puerta de Hierro Majadahonda, C. Joaquín Rodrigo, 1, Majadahonda, Madrid, 28222, Spain., Fey D; Systems Biology Ireland, University College Dublin, Co. Dublin, Ireland., Nováček V; Data Science Institute, University of Galway, University Road, H91 TK33, Co. Galway, Ireland; Faculty of Informatics, Masaryk University, Botanická 68a, 60200, Czech Republic; Masaryk Memorial Cancer Institute, Žlutý kopec 7, 65653, Czech Republic.
Source:	Computers in biology and medicine [Comput Biol Med] 2024 May; Vol. 174, pp. 108398. Date of Electronic Publication: 2024 Apr 03.
Publication Type:	Journal Article; Research Support, Non-U.S. Gov't
Journal Info:	Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1879-0534
DOI:	10.1016/j.compbiomed.2024.108398