Judith D. Cohn

Los Alamos National Laboratory — United States

Biochemistry, Genetics and Molecular Biology · Life Sciences

14h-index1.0kcitations37works4.32yr avg
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Research Topics

Protein Structure and Dynamics(7), RNA and protein synthesis mechanisms(7), Biomedical Text Mining and Ontologies(7), Bioinformatics and Genomic Networks(6), Machine Learning in Bioinformatics(6)

Publications36 total

SAM- and μSAM- Based Inference of Nuclear Materials Processing History from SEM Imagery
2025
Knowledge Ontology of Information Quality for Information Fusion
2024
High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
Scientific Reports·2024· 13 citedOpen Access
Deep sequential neural network models improve stratification of suicide attempt risk among US veterans
Journal of the American Medical Informatics Association·2023· 11 citedOpen Access
High dimensional predictions of suicide risk in 4.2 million US Veterans using ensemble transfer learning
Research Square (Research Square)·2023· 2 citedOpen Access
Identification of Novel, Replicable Genetic Risk Loci for Suicidal Thoughts and Behaviors Among US Military Veterans
JAMA Psychiatry·2022· 50 citedOpen Access
MACE prediction using high-dimensional machine learning and mechanistic interpretation: A longitudinal cohort study in US veterans
2022· 3 citedOpen Access
A cross-study analysis of drug response prediction in cancer cell lines
Briefings in Bioinformatics·2021· 89 citedOpen Access
A cross-study analysis of drug response prediction in cancer cell lines
arXiv (Cornell University)·2021· 9 citedOpen Access
Correction: California condor microbiomes: Bacterial variety and functional properties in captive-bred individuals
PLoS ONE·2020· 2 citedOpen Access
Additional file of Consistency of gene starts among Burkholderia genomes
Figshare·2020Open Access
Additional file 1 of Consistency of gene starts among Burkholderia genomes
Figshare·2020Open Access
Predicting tumor cell line response to drug pairs with deep learning
BMC Bioinformatics·2018· 128 citedOpen Access
Sparse coding of pathology slides compared to transfer learning with deep neural networks
BMC Bioinformatics·2018· 18 citedOpen Access
Additional file 1 of Sparse coding of pathology slides compared to transfer learning with deep neural networks
Figshare·2018Open Access
California Condor Microbiomes
Biophysical Journal·2017Open Access
DETECTION OF PROTEIN CATALYTIC SITES IN THE BIOMEDICAL LITERATURE
2012· 14 citedOpen Access
Literature mining of protein-residue associations with graph rules learned through distant supervision
Journal of Biomedical Semantics·2012· 51 citedOpen Access
Rapid phylogenetic and functional classification of short genomic fragments with signature peptides
BMC Research Notes·2012· 26 citedOpen Access
Text Mining Improves Prediction of Protein Functional Sites
PLoS ONE·2012· 34 citedOpen Access
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Frequent Co-authors

Michael E. Wall(12), Benjamin H. McMahon(9), Nicolas Hengartner(8), Karin Verspoor(7), Nathan A. Kimbrel(5), David W. Oslin(5), Sayera Dhaubhadel(5), Patrick D. Finley(5), Ruy M. Ribeiro(5), Jonathan L. Longmire(4), Ravi Madduri(4), Jodie Trafton(4), Jean C. Beckham(4), Tanmoy Bhattacharya(4), Kumkum Ganguly(4), Beauty Kolade(4), Drew Levin(4), Suzanne Tamang(4), Dengming Ming(4), John Dunbar(4)