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Prashnna K Gyawali

Showing results (1-10 of 4) with videos related to

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Communications Biology|September 22, 2023
Improving genetic risk prediction across diverse population by disentangling ancestry representationsPrashnna K Gyawali, Yann Le Guen, Xiaoxia Liu, et al.
IEEE Transactions on Bio-Medical Engineering|August 30, 2021
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic DataPrashnna K Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, et al.
Computers in Biology and Medicine|October 1, 2020
A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiogramsRyan Missel, Prashnna K Gyawali, Jaideep Vitthal Murkute, et al.
Nature Communications|November 23, 2022
GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studiesZihuai He, Linxi Liu, Michael E Belloy, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Communications Biology|September 22, 2023
Improving genetic risk prediction across diverse population by disentangling ancestry representationsPrashnna K Gyawali, Yann Le Guen, Xiaoxia Liu, et al.
IEEE Transactions on Bio-Medical Engineering|August 30, 2021
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic DataPrashnna K Gyawali, Jaideep Vitthal Murkute, Maryam Toloubidokhti, et al.
Computers in Biology and Medicine|October 1, 2020
A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiogramsRyan Missel, Prashnna K Gyawali, Jaideep Vitthal Murkute, et al.
Nature Communications|November 23, 2022
GhostKnockoff inference empowers identification of putative causal variants in genome-wide association studiesZihuai He, Linxi Liu, Michael E Belloy, et al.
Pageof 1