Showing 6 publications
Learning deep representations of enzyme thermal adaptation
metaGEM: reconstruction of genome scale metabolic models directly from metagenomes
Mapping the proteome with data-driven methods: A cycle of measurement, modeling, hypothesis generation, and engineering
Learning the Regulatory Code of Gene Expression
Parallel Factor Analysis Enables Quantification and Identification of Highly Convolved Data-Independent-Acquired Protein Spectra
Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure
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