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John C Earls

Showing results (1-10 of 19) with videos related to

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Trends in Pharmacological Sciences|March 21, 2020
Ageotypes: Distinct Biomolecular Trajectories in Human AgingBrian D Piening, Jennifer Lovejoy, John C Earls
Bioinformatics (Oxford, England)|January 25, 2011
Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedupAndrew T Magis, John C Earls, Youn-Hee Ko, et al.
Metabolites|January 5, 2021
Identifying Personalized Metabolic Signatures in Breast CancerPriyanka Baloni, Wikum Dinalankara, John C Earls, et al.
BMC Bioinformatics|March 19, 2013
AUREA: an open-source software system for accurate and user-friendly identification of relative expression molecular signaturesJohn C Earls, James A Eddy, Cory C Funk, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 7, 2013
Cell type-specific genes show striking and distinct patterns of spatial expression in the mouse brainYounhee Ko, Seth A Ament, James A Eddy, et al.
Nature Biotechnology|August 7, 2018
Reply to "Precision medicine in the clouds"Andrew T Magis, John C Earls, Gustavo Glusman, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 21, 2020
Multiomic blood correlates of genetic risk identify presymptomatic disease alterationsMichael Wainberg, Andrew T Magis, John C Earls, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 31, 2020
Longitudinal analysis reveals transition barriers between dominant ecological states in the gut microbiomeRoie Levy, Andrew T Magis, John C Earls, et al.
Nature Biotechnology|September 4, 2019
Blood metabolome predicts gut microbiome α-diversity in humansTomasz Wilmanski, Noa Rappaport, John C Earls, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|November 15, 2019
Multi-Omic Biological Age Estimation and Its Correlation With Wellness and Disease Phenotypes: A Longitudinal Study of 3,558 IndividualsJohn C Earls, Noa Rappaport, Laura Heath, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Trends in Pharmacological Sciences|March 21, 2020
Ageotypes: Distinct Biomolecular Trajectories in Human AgingBrian D Piening, Jennifer Lovejoy, John C Earls
Bioinformatics (Oxford, England)|January 25, 2011
Graphics processing unit implementations of relative expression analysis algorithms enable dramatic computational speedupAndrew T Magis, John C Earls, Youn-Hee Ko, et al.
Metabolites|January 5, 2021
Identifying Personalized Metabolic Signatures in Breast CancerPriyanka Baloni, Wikum Dinalankara, John C Earls, et al.
BMC Bioinformatics|March 19, 2013
AUREA: an open-source software system for accurate and user-friendly identification of relative expression molecular signaturesJohn C Earls, James A Eddy, Cory C Funk, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 7, 2013
Cell type-specific genes show striking and distinct patterns of spatial expression in the mouse brainYounhee Ko, Seth A Ament, James A Eddy, et al.
Nature Biotechnology|August 7, 2018
Reply to "Precision medicine in the clouds"Andrew T Magis, John C Earls, Gustavo Glusman, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 21, 2020
Multiomic blood correlates of genetic risk identify presymptomatic disease alterationsMichael Wainberg, Andrew T Magis, John C Earls, et al.
Proceedings of the National Academy of Sciences of the United States of America|May 31, 2020
Longitudinal analysis reveals transition barriers between dominant ecological states in the gut microbiomeRoie Levy, Andrew T Magis, John C Earls, et al.
Nature Biotechnology|September 4, 2019
Blood metabolome predicts gut microbiome α-diversity in humansTomasz Wilmanski, Noa Rappaport, John C Earls, et al.
The Journals of Gerontology. Series A, Biological Sciences and Medical Sciences|November 15, 2019
Multi-Omic Biological Age Estimation and Its Correlation With Wellness and Disease Phenotypes: A Longitudinal Study of 3,558 IndividualsJohn C Earls, Noa Rappaport, Laura Heath, et al.
Pageof 2