Zhongliang Zhou

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 11

Top Topics

Machine Learning

Saccharomyces Cerevisiae

Top Venues

Bioinformatics (Oxford, England)

Nature communications

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

Publications

Zhongliang Zhou, Wayland Yeung, Saber Soleymani, Nathan Gravel, Mariah Salcedo, Sheng Li, Natarajan Kannan
Using explainable machine learning to uncover the kinase-substrate interaction landscape. Bioinformatics (Oxford, England) 40 (2) (2024)
Zhongliang Zhou, Wayland Yeung, Saber Soleymani, Nathan Gravel, Mariah Salcedo, Sheng Li, Natarajan Kannan
Using explainable machine learning to uncover the kinase-substrate interaction landscape. Bioinformatics (Oxford, England) 40 (2) (2024)
Zhongliang Zhou, Wayland Yeung, Saber Soleymani, Nathan Gravel, Mariah Salcedo, Sheng Li, Natarajan Kannan
Using explainable machine learning to uncover the kinase-substrate interaction landscape. Bioinformatics (Oxford, England) 40 (2) (2024)
Zhongliang Zhou, Wayland Yeung, Saber Soleymani, Nathan Gravel, Mariah Salcedo, Sheng Li, Natarajan Kannan
Using explainable machine learning to uncover the kinase-substrate interaction landscape. Bioinformatics (Oxford, England) 40 (2) (2024)
Zhongliang Zhou, Wayland Yeung, Saber Soleymani, Nathan Gravel, Mariah Salcedo, Sheng Li, Natarajan Kannan
Using explainable machine learning to uncover the kinase-substrate interaction landscape. Bioinformatics (Oxford, England) 40 (2) (2024)
Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions. Bioinformatics (Oxford, England) 39 (2) (2023)
Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions. Bioinformatics (Oxford, England) 39 (2) (2023)
Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions. Bioinformatics (Oxford, England) 39 (2) (2023)
Zhongliang Zhou, Wayland Yeung, Nathan Gravel, Mariah Salcedo, Saber Soleymani, Sheng Li, Natarajan Kannan
Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions. Bioinformatics (Oxford, England) 39 (2) (2023)
Brittany M Berger, Wayland Yeung, Arnav Goyal, Zhongliang Zhou, Emily R Hildebrandt, Natarajan Kannan, Walter K Schmidt
Functional classification and validation of yeast prenylation motifs using machine learning and genetic reporters. PloS one 17 (6) (2022)
Rahil Taujale, Zhongliang Zhou, Wayland Yeung, Kelley W Moremen, Sheng Li, Natarajan Kannan
Mapping the glycosyltransferase fold landscape using interpretable deep learning. Nature communications 12 (1) (2021)