Author

Rachel St. Clair

Florida Atlantic UniversityORCID 0000-0001-7590-116XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Approach:deep learning· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Elan BarenholtziD· 2 shared Michael TetiiD· 2 shared William Edward Hahn· 2 shared Ania Knapinska· 1 shared Gregg FieldsiD· 1 shared Mirjana D. PavlovićiD· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 13 mutual co-author links

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2 shared papersBioinformatics

Elan BarenholtzORCID

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2 papers

Recent·Most cited

BioinformaticsMedical & Biological Engineering & ComputingPeer-reviewedMar 18, 2022

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

Rachel St. Clair, Michael Teti, Mirjana D. Pavlović…·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.

3 citations

proteomicsdeep learning

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMar 24, 2019

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

Rachel St. Clair, Michael Teti, Ania Knapinska…·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.

DOI 10.1101/586628

humanbulk RNA-seq

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