Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Carlos De Niz"'
Publikováno v:
BMC Bioinformatics, Vol 19, Iss S3, Pp 21-33 (2018)
Abstract Background A significant problem in precision medicine is the prediction of drug sensitivity for individual cancer cell lines. Predictive models such as Random Forests have shown promising performance while predicting from individual genomic
Externí odkaz:
https://doaj.org/article/e8cab06084ba461b955716abbb926ef4
Publikováno v:
Algorithms, Vol 9, Iss 4, p 77 (2016)
Precision medicine entails the design of therapies that are matched for each individual patient. Thus, predictive modeling of drug responses for specific patients constitutes a significant challenge for personalized therapy. In this article, we consi
Externí odkaz:
https://doaj.org/article/55908aa181114f6d9e0baac8776417bb
Autor:
Alba Gutiérrez-Sacristán, Joany M Zachariasse, Paul Avillach, Isaac S. Kohane, Nathan Palmer, Ranjay Kumar, Thomas N DeSain, Niloofar Jalali, Kathe Fox, Carlos De Niz, Carlos Sáez
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA, 29(2), 230-238. Oxford University Press
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association : JAMIA
Objective To identify differences related to sex and define autism spectrum disorder (ASD) comorbidities female-enriched through a comprehensive multi-PheWAS intersection approach on big, real-world data. Although sex difference is a consistent and r
Autor:
Inès Krissaane, Jessica Lyons, Arjun K. Manrai, Alba Gutiérrez-Sacristán, Gabor Korodi, Chirag J. Patel, Isaac S. Kohane, Carlos De Niz, Paul Avillach, Nneka Ede, Ranjay Kumar
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Objective Advancements in human genomics have generated a surge of available data, fueling the growth and accessibility of databases for more comprehensive, in-depth genetic studies. Methods We provide a straightforward and innovative methodology to
Autor:
Cartik R. Kothari, Carlos De Niz, Sek Won Kong, Kenneth D. Mandl, Paul Avillach, Alba Gutiérrez-Sacristán
Publikováno v:
Briefings in Bioinformatics
Precision medicine promises to revolutionize treatment, shifting therapeutic approaches from the classical one-size-fits-all to those more tailored to the patient’s individual genomic profile, lifestyle and environmental exposures. Yet, to advance
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 19, Iss S3, Pp 21-33 (2018)
BCB
BMC Bioinformatics, Vol 19, Iss S3, Pp 21-33 (2018)
BCB
A requirement for precision medicine is the accurate prediction of the sensitivity of a given drug on an individual patient. A very common method for this prediction is the use of Random Forest built on Genomic Features such as gene expression. Howev