Inferring Protein Sequence-Function Relationships with Large-Scale Positive-Unlabeled Learning is a research paper published in Cell Systems (2020). On theSindex it has a DataRank of 0. It has been cited 56 times.
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National Science Foundation
Grant: 1811767
Estimation, inference and testing for large-scale directed network models
National Institutes of Health
Grant: 5R35GM119854-02
Data-driven analysis of protein structure, function, and regulation
National Institutes of Health
Grant: 5R01GM131381-03
Novel Methods for Large Scale Presence only Data in Biological Systems Engineering
NIGMS NIH HHS
Grant: R01 GM131381
NIGMS NIH HHS
Grant: R35 GM119854
FWCI
2.24
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 1 of MBE: model-based enrichment estimation and prediction for differential sequencing data
Additional file 1 of MBE: model-based enrichment estimation and prediction for differential sequencing data
Additional file 2 of MBE: model-based enrichment estimation and prediction for differential sequencing data
Additional file 2 of MBE: model-based enrichment estimation and prediction for differential sequencing data
Additional file 1 of Enhancing the endo-activity of the thermophilic chitinase to yield chitooligosaccharides with high degrees of polymerization
Additional file 1 of Enhancing the endo-activity of the thermophilic chitinase to yield chitooligosaccharides with high degrees of polymerization