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Bioinformatics (Oxford, England)
|
September 9, 2017
Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression
Muhammad Ammad-Ud-Din, Suleiman A Khan, Krister Wennerberg, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco
|
May 15, 2021
Modeling Public Sentiments About JUUL Flavors on Twitter Through Machine Learning
Aqdas Malik, Muhammad Irfan Khan, Habib Karbasian, et al.
Bioinformatics (Oxford, England)
|
September 3, 2016
Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization
Muhammad Ammad-Ud-Din, Suleiman A Khan, Disha Malani, et al.
Journal of Chemical Information and Modeling
|
July 22, 2014
Integrative and personalized QSAR analysis in cancer by kernelized Bayesian matrix factorization
Muhammad Ammad-ud-din, Elisabeth Georgii, Mehmet Gönen, et al.
Royal Society Open Science
|
November 18, 2020
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
Milla Kibble, Suleiman A Khan, Muhammad Ammad-Ud-Din, et al.
Clinical Lymphoma, Myeloma & Leukemia
|
March 20, 2025
Hematological Response to Frontline Treatment in Lower Risk Myelodysplastic Syndromes (LRMDS) is Associated With Better Overall Survival
Rami S Komrokji, Muhammad Ammad-Ud-Din, Najla H Al Ali, et al.
NPJ Precision Oncology
|
July 24, 2021
Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia
Brian S White, Suleiman A Khan, Mike J Mason, et al.
Nature Biotechnology
|
June 2, 2014
A community effort to assess and improve drug sensitivity prediction algorithms
James C Costello, Laura M Heiser, Elisabeth Georgii, et al.
Nature Communications
|
August 24, 2016
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
Solveig K Sieberts, Fan Zhu, Javier García-García, et al.
Nature Communications
|
October 11, 2016
Erratum: Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
Solveig K Sieberts, Fan Zhu, Javier García-García, et al.
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Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Bioinformatics (Oxford, England)
|
September 9, 2017
Systematic identification of feature combinations for predicting drug response with Bayesian multi-view multi-task linear regression
Muhammad Ammad-Ud-Din, Suleiman A Khan, Krister Wennerberg, et al.
Nicotine & Tobacco Research : Official Journal of the Society for Research on Nicotine and Tobacco
|
May 15, 2021
Modeling Public Sentiments About JUUL Flavors on Twitter Through Machine Learning
Aqdas Malik, Muhammad Irfan Khan, Habib Karbasian, et al.
Bioinformatics (Oxford, England)
|
September 3, 2016
Drug response prediction by inferring pathway-response associations with kernelized Bayesian matrix factorization
Muhammad Ammad-Ud-Din, Suleiman A Khan, Disha Malani, et al.
Journal of Chemical Information and Modeling
|
July 22, 2014
Integrative and personalized QSAR analysis in cancer by kernelized Bayesian matrix factorization
Muhammad Ammad-ud-din, Elisabeth Georgii, Mehmet Gönen, et al.
Royal Society Open Science
|
November 18, 2020
An integrative machine learning approach to discovering multi-level molecular mechanisms of obesity using data from monozygotic twin pairs
Milla Kibble, Suleiman A Khan, Muhammad Ammad-Ud-Din, et al.
Clinical Lymphoma, Myeloma & Leukemia
|
March 20, 2025
Hematological Response to Frontline Treatment in Lower Risk Myelodysplastic Syndromes (LRMDS) is Associated With Better Overall Survival
Rami S Komrokji, Muhammad Ammad-Ud-Din, Najla H Al Ali, et al.
NPJ Precision Oncology
|
July 24, 2021
Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia
Brian S White, Suleiman A Khan, Mike J Mason, et al.
Nature Biotechnology
|
June 2, 2014
A community effort to assess and improve drug sensitivity prediction algorithms
James C Costello, Laura M Heiser, Elisabeth Georgii, et al.
Nature Communications
|
August 24, 2016
Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
Solveig K Sieberts, Fan Zhu, Javier García-García, et al.
Nature Communications
|
October 11, 2016
Erratum: Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis
Solveig K Sieberts, Fan Zhu, Javier García-García, et al.
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of 1