David Heckmann

Publication Activity (10 Years)

Years Active: 2020-2021
Publications (10 Years): 4

Top Topics

Machine Learning

Escherichia Coli

Top Venues

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

PLoS computational biology

Nature communications

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

Publications

Alexander Kroll, Martin K M Engqvist, David Heckmann, Martin J Lercher
Deep learning allows genome-scale prediction of Michaelis constants from structural features. PLoS biology 19 (10) (2021)
Anand V Sastry, Alyssa Hu, David Heckmann, Saugat Poudel, Erol S Kavvas, Bernhard O Palsson
Independent component analysis recovers consistent regulatory signals from disparate datasets. PLoS computational biology 17 (2) (2021)
Erol S Kavvas, Laurence Yang, Jonathan M Monk, David Heckmann, Bernhard O Palsson
A biochemically-interpretable machine learning classifier for microbial GWAS. Nature communications 11 (1) (2020)
David Heckmann, Anaamika Campeau, Colton J Lloyd, Patrick V Phaneuf, Ying Hefner, Marvic Carrillo-Terrazas, Adam M Feist, David J Gonzalez, Bernhard O Palsson
Kinetic profiling of metabolic specialists demonstrates stability and consistency of in vivo enzyme turnover numbers. Proceedings of the National Academy of Sciences of the United States of America 117 (37) (2020)