Author

William Edward Hahn

Florida Atlantic University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 3

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Research Focus:benchmarking· 2 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Organism:human· 1

Frequent Co-Authors

Elan BarenholtziD· 3 shared Michael TetiiD· 3 shared Mirjana D. PavlovićiD· 2 shared Rachel St. ClairiD· 2 shared Ania Knapinska· 1 shared Gregg FieldsiD· 1 shared Rachel A. StClair· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 16 mutual co-author links

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3 shared papersBioinformatics

Elan BarenholtzORCID

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Author profile →

3 papers

Recent·Most cited

Predicting Residues Involved in Anti-DNA Autoantibodies with Limited Neural Networks

Rachel St. Clair, Michael Teti, Mirjana D. Pavlović, William Edward Hahn, Elan Barenholtz

The paper uses LSTM and CNN models to predict DNA-binding sites in autoantibodies from primary sequences, finding that LSTM highlights sub-sequences correlated with binding sites.

Medical & Biological Engineering & Computing · Mar 18, 2022Peer-reviewedBioinformatics

Self-Organizing Map Methodology for Sorting Differential Expression Data of MMP-9 Inhibition

Rachel St. Clair, Michael Teti, Ania Knapinska, Gregg Fields, William Edward Hahn, Elan Barenholtz

The paper uses a self-organizing map to analyze differential expression data from MMP-9 inhibitor-treated T-cells, identifying novel gene targets regulated by MMP-9.

bioRxiv · Mar 24, 2019 · PreprintBioinformatics

Target Binding and Sequence Prediction With LSTMs

Michael Teti, Rachel A. StClair, Mirjana D. Pavlović, Elan Barenholtz, William Edward Hahn

The paper trains LSTM networks to predict protein properties from primary sequences, achieving high accuracy in classifying homeodomain presence and Artemisinin binding.

bioRxiv · Dec 23, 2018 · PreprintBioinformatics