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Daniel M Jordan

Showing results (1-10 of 42) with videos related to

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Annual Review of Genomics and Human Genetics|April 12, 2018
Using Full Genomic Information to Predict Disease: Breaking Down the Barriers Between Complex and Mendelian DiseasesDaniel M Jordan, Ron Do
Genome Biology|October 27, 2019
HOPS: a quantitative score reveals pervasive horizontal pleiotropy in human genetic variation is driven by extreme polygenicity of human traits and diseasesDaniel M Jordan, Marie Verbanck, Ron Do
Current Protocols in Human Genetics|January 15, 2013
Predicting functional effect of human missense mutations using PolyPhen-2Ivan Adzhubei, Daniel M Jordan, Shamil R Sunyaev
Human Mutation|July 3, 2013
Large numbers of genetic variants considered to be pathogenic are common in asymptomatic individualsChristopher A Cassa, Mark Y Tong, Daniel M Jordan
Current Opinion in Structural Biology|April 20, 2010
Human allelic variation: perspective from protein function, structure, and evolutionDaniel M Jordan, Vasily E Ramensky, Shamil R Sunyaev
Medrxiv : the Preprint Server for Health Sciences|January 10, 2024
A deep learning transformer model predicts high rates of undiagnosed rare disease in large electronic health systemsDaniel M Jordan, Ha My T Vy, Ron Do
Human Mutation|September 18, 2015
Mitigating false-positive associations in rare disease gene discoverySebastian Akle, Sung Chun, Daniel M Jordan, et al.
American Journal of Human Genetics|December 24, 2021
Overcoming constraints on the detection of recessive selection in human genes from population frequency dataDaniel J Balick, Daniel M Jordan, Shamil Sunyaev, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|February 2, 2018
A literature review at genome scale: improving clinical variant assessmentChristopher A Cassa, Daniel M Jordan, Ivan Adzhubei, et al.
Molecular Biology and Evolution|July 21, 2016
Excess of Deleterious Mutations around HLA Genes Reveals Evolutionary Cost of Balancing SelectionTobias L Lenz, Victor Spirin, Daniel M Jordan, et al.
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Annual Review of Genomics and Human Genetics|April 12, 2018
Using Full Genomic Information to Predict Disease: Breaking Down the Barriers Between Complex and Mendelian DiseasesDaniel M Jordan, Ron Do
Genome Biology|October 27, 2019
HOPS: a quantitative score reveals pervasive horizontal pleiotropy in human genetic variation is driven by extreme polygenicity of human traits and diseasesDaniel M Jordan, Marie Verbanck, Ron Do
Current Protocols in Human Genetics|January 15, 2013
Predicting functional effect of human missense mutations using PolyPhen-2Ivan Adzhubei, Daniel M Jordan, Shamil R Sunyaev
Human Mutation|July 3, 2013
Large numbers of genetic variants considered to be pathogenic are common in asymptomatic individualsChristopher A Cassa, Mark Y Tong, Daniel M Jordan
Current Opinion in Structural Biology|April 20, 2010
Human allelic variation: perspective from protein function, structure, and evolutionDaniel M Jordan, Vasily E Ramensky, Shamil R Sunyaev
Medrxiv : the Preprint Server for Health Sciences|January 10, 2024
A deep learning transformer model predicts high rates of undiagnosed rare disease in large electronic health systemsDaniel M Jordan, Ha My T Vy, Ron Do
Human Mutation|September 18, 2015
Mitigating false-positive associations in rare disease gene discoverySebastian Akle, Sung Chun, Daniel M Jordan, et al.
American Journal of Human Genetics|December 24, 2021
Overcoming constraints on the detection of recessive selection in human genes from population frequency dataDaniel J Balick, Daniel M Jordan, Shamil Sunyaev, et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics|February 2, 2018
A literature review at genome scale: improving clinical variant assessmentChristopher A Cassa, Daniel M Jordan, Ivan Adzhubei, et al.
Molecular Biology and Evolution|July 21, 2016
Excess of Deleterious Mutations around HLA Genes Reveals Evolutionary Cost of Balancing SelectionTobias L Lenz, Victor Spirin, Daniel M Jordan, et al.
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