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Human Genetics
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October 20, 2021
Interpretable machine learning for genomics
David S Watson
Statistics in Medicine
|
February 4, 2026
Missing Value Imputation With Adversarial Random Forests-MissARF
Pegah Golchian, Jan Kapar, David S Watson, et al.
The Journal of Investigative Dermatology
|
August 28, 2017
Research Techniques Made Simple: Bioinformatics for Genome-Scale Biology
Amy C Foulkes, David S Watson, Christopher E M Griffiths, et al.
Frontiers in Genetics
|
May 1, 2020
Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci
Hannah L Nicholls, Christopher R John, David S Watson, et al.
BMJ (Clinical Research Ed.)
|
March 14, 2019
Clinical applications of machine learning algorithms: beyond the black box
David S Watson, Jenny Krutzinna, Ian N Bruce, et al.
Free Radical Biology & Medicine
|
July 23, 2018
Sex differences in the nitrate-nitrite-NO<sup>•</sup> pathway: Role of oral nitrate-reducing bacteria
Vikas Kapil, Krishnaraj S Rathod, Rayomand S Khambata, et al.
The Journal of Investigative Dermatology
|
July 22, 2018
A Framework for Multi-Omic Prediction of Treatment Response to Biologic Therapy for Psoriasis
Amy C Foulkes, David S Watson, Daniel F Carr, et al.
Endocrine-Related Cancer
|
October 23, 2018
Oncometabolite induced primary cilia loss in pheochromocytoma
Samuel M O'Toole, David S Watson, Tatiana V Novoselova, et al.
Communications Medicine
|
January 21, 2026
Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity
Ashley Rider, Henry J Grantham, Graham R Smith, et al.
Cell Reports
|
August 29, 2019
Molecular Portraits of Early Rheumatoid Arthritis Identify Clinical and Treatment Response Phenotypes
Myles J Lewis, Michael R Barnes, Kevin Blighe, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Human Genetics
|
October 20, 2021
Interpretable machine learning for genomics
David S Watson
Statistics in Medicine
|
February 4, 2026
Missing Value Imputation With Adversarial Random Forests-MissARF
Pegah Golchian, Jan Kapar, David S Watson, et al.
The Journal of Investigative Dermatology
|
August 28, 2017
Research Techniques Made Simple: Bioinformatics for Genome-Scale Biology
Amy C Foulkes, David S Watson, Christopher E M Griffiths, et al.
Frontiers in Genetics
|
May 1, 2020
Reaching the End-Game for GWAS: Machine Learning Approaches for the Prioritization of Complex Disease Loci
Hannah L Nicholls, Christopher R John, David S Watson, et al.
BMJ (Clinical Research Ed.)
|
March 14, 2019
Clinical applications of machine learning algorithms: beyond the black box
David S Watson, Jenny Krutzinna, Ian N Bruce, et al.
Free Radical Biology & Medicine
|
July 23, 2018
Sex differences in the nitrate-nitrite-NO<sup>•</sup> pathway: Role of oral nitrate-reducing bacteria
Vikas Kapil, Krishnaraj S Rathod, Rayomand S Khambata, et al.
The Journal of Investigative Dermatology
|
July 22, 2018
A Framework for Multi-Omic Prediction of Treatment Response to Biologic Therapy for Psoriasis
Amy C Foulkes, David S Watson, Daniel F Carr, et al.
Endocrine-Related Cancer
|
October 23, 2018
Oncometabolite induced primary cilia loss in pheochromocytoma
Samuel M O'Toole, David S Watson, Tatiana V Novoselova, et al.
Communications Medicine
|
January 21, 2026
Transcriptomic profiling and machine learning uncover gene signatures of psoriasis endotypes and disease severity
Ashley Rider, Henry J Grantham, Graham R Smith, et al.
Cell Reports
|
August 29, 2019
Molecular Portraits of Early Rheumatoid Arthritis Identify Clinical and Treatment Response Phenotypes
Myles J Lewis, Michael R Barnes, Kevin Blighe, et al.
Page
of 1