Henry Dieckhaus

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 11

Top Topics

Magnetic Resonance

Protein Protein

Top Venues

Proceedings of the National Academy of Sciences of the United States of America

bioRxiv : the preprint server for biology

Topics in magnetic resonance imaging : TMRI

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

Publications

Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Brian Kuhlman
Protein stability models fail to capture epistatic interactions of double point mutations. bioRxiv : the preprint server for biology (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. Proceedings of the National Academy of Sciences of the United States of America 121 (6) (2024)
Henry Dieckhaus, Michael Brocidiacono, Nicholas Z Randolph, Brian Kuhlman
Transfer learning to leverage larger datasets for improved prediction of protein stability changes. bioRxiv : the preprint server for biology (2023)
Paul J Sapienza, Jeffrey P Bonin, H P Dinusha Jinasena, Kelin Li, Henry Dieckhaus, Konstantin I Popov, Jeffrey Aube, Andrew L Lee
Mixed, nonclassical behavior in a classic allosteric protein. Proceedings of the National Academy of Sciences of the United States of America 120 (38) (2023)
Henry Dieckhaus, Rozanna Meijboom, Serhat Okar, Tianxia Wu, Prasanna Parvathaneni, Yair Mina, Siddharthan Chandran, Adam D Waldman, Daniel S Reich, Govind Nair
Logistic Regression-Based Model Is More Efficient Than U-Net Model for Reliable Whole Brain Magnetic Resonance Imaging Segmentation. Topics in magnetic resonance imaging : TMRI 31 (3) (2022)