Jeremy J Yang

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 10

Top Topics

Molecular Dynamics Simulations

Convolutional Neural Network

Machine Learning

Top Venues

Nucleic acids research

Bioinformatics advances

Communications biology

This page only lists publications with an associated author ORCID identifier.

Publications

Vincent T Metzger, Daniel C Cannon, Jeremy J Yang, Stephen L Mathias, Cristian G Bologa, Anna Waller, Stephan C Schürer, Dušica Vidović, Keith J Kelleher, Timothy K Sheils, Lars Juhl Jensen, Christophe Gerard Lambert, Tudor I Oprea, Jeremy S Edwards
TIN-X version 3: update with expanded dataset and modernized architecture for enhanced illumination of understudied targets. PeerJ 12 (2024)
Luca Cappelletti, Lauren Rekerle, Tommaso Fontana, Peter Hansen, Elena Casiraghi, Vida Ravanmehr, Christopher John Mungall, Jeremy J Yang, Leonard Spranger, Guy Karlebach, J Harry Caufield, Leigh C Carmody, Ben Coleman, Tudor I Oprea, Justin T Reese, Giorgio Valentini, Peter Nick Robinson
Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning. Bioinformatics advances 4 (1) (2024)
Luca Cappelletti, Lauren Rekerle, Tommaso Fontana, Peter Hansen, Elena Casiraghi, Vida Ravanmehr, Christopher John Mungall, Jeremy J Yang, Leonard Spranger, Guy Karlebach, J Harry Caufield, Leigh C Carmody, Ben Coleman, Tudor I Oprea, Justin T Reese, Giorgio Valentini, Peter Nick Robinson
Node-degree aware edge sampling mitigates inflated classification performance in biomedical random walk-based graph representation learning. Bioinformatics advances 4 (1) (2024)
Vincent T Metzger, Daniel C Cannon, Jeremy J Yang, Stephen L Mathias, Cristian G Bologa, Anna Waller, Stephan C Schürer, Dušica Vidović, Keith J Kelleher, Timothy K Sheils, Lars Juhl Jensen, Christophe Gerard Lambert, Tudor I Oprea, Jeremy S Edwards
TIN-X version 3: update with expanded dataset and modernized architecture for enhanced illumination of understudied targets. PeerJ 12 (2024)
Keith J Kelleher, Timothy K Sheils, Stephen L Mathias, Jeremy J Yang, Vincent T Metzger, Vishal B Siramshetty, Ðắc-Trung Nguyễn, Lars Juhl Jensen, Dušica Vidović, Stephan C Schürer, Jayme Holmes, Karlie R Sharma, Ajay Pillai, Cristian G Bologa, Jeremy S Edwards, Ewy A Math, Tudor I Oprea
Pharos 2023: an integrated resource for the understudied human proteome. Nucleic acids research 51 (D1) (2023)
Keith J Kelleher, Timothy K Sheils, Stephen L Mathias, Jeremy J Yang, Vincent T Metzger, Vishal B Siramshetty, Ðắc-Trung Nguyễn, Lars Juhl Jensen, Dušica Vidović, Stephan C Schürer, Jayme Holmes, Karlie R Sharma, Ajay Pillai, Cristian G Bologa, Jeremy S Edwards, Ewy A Math, Tudor I Oprea
Pharos 2023: an integrated resource for the understudied human proteome. Nucleic acids research 51 (D1) (2023)
Keith J Kelleher, Timothy K Sheils, Stephen L Mathias, Jeremy J Yang, Vincent T Metzger, Vishal B Siramshetty, Ðắc-Trung Nguyễn, Lars Juhl Jensen, Dušica Vidović, Stephan C Schürer, Jayme Holmes, Karlie R Sharma, Ajay Pillai, Cristian G Bologa, Jeremy S Edwards, Ewy A Math, Tudor I Oprea
Pharos 2023: an integrated resource for the understudied human proteome. Nucleic acids research 51 (D1) (2023)
Keith J Kelleher, Timothy K Sheils, Stephen L Mathias, Jeremy J Yang, Vincent T Metzger, Vishal B Siramshetty, Ðắc-Trung Nguyễn, Lars Juhl Jensen, Dušica Vidović, Stephan C Schürer, Jayme Holmes, Karlie R Sharma, Ajay Pillai, Cristian G Bologa, Jeremy S Edwards, Ewy A Math, Tudor I Oprea
Pharos 2023: an integrated resource for the understudied human proteome. Nucleic acids research 51 (D1) (2023)
Keith J Kelleher, Timothy K Sheils, Stephen L Mathias, Jeremy J Yang, Vincent T Metzger, Vishal B Siramshetty, Ðắc-Trung Nguyễn, Lars Juhl Jensen, Dušica Vidović, Stephan C Schürer, Jayme Holmes, Karlie R Sharma, Ajay Pillai, Cristian G Bologa, Jeremy S Edwards, Ewy A Math, Tudor I Oprea
Pharos 2023: an integrated resource for the understudied human proteome. Nucleic acids research 51 (D1) (2023)
Jessica Binder, Oleg Ursu, Cristian G Bologa, Shanya Jiang, Nicole M Maphis, Somayeh Dadras, Devon Chisholm, Jason P Weick, Orrin Myers, Praveen Kumar, Jeremy J Yang, Kiran Bhaskar, Tudor I Oprea
Machine learning prediction and tau-based screening identifies potential Alzheimer's disease genes relevant to immunity. Communications biology 5 (1) (2022)