Bahrad Sokhansanj

Assistant Research Professor

Drexel University

United States

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Articles (7)

Interpretable and Predictive Deep Neural Network Modeling of the SARS-CoV-2 Spike Protein Sequence to Predict COVID-19 Disease Severity

Year:

2022

Predicting COVID-19 disease severity from SARS-CoV-2 spike protein sequence by mixed effects machine learning

Year:

2022

Mapping Data to Deep Understanding: Making the Most of the Deluge of SARS-CoV-2 Genome Sequences

Year:

2022

Predicting Institution Outcomes for Inter Partes Review (IPR) Proceedings at the United States Patent Trial & Appeal Board by Deep Learning of Patent Owner Preliminary Response Briefs

Year:

2022

Learning, visualizing and exploring 16S rRNA structure using an attention-based deep neural network

Year:

2021

Amino Acid k-mer Feature Extraction for Quantitative Antimicrobial Resistance (AMR) Prediction by Machine Learning and Model Interpretation for Biological Insights

Year:

2020

Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization

Year:

2020

Collaborators (2)

Felix Agbavor

Drexel University

UNITED STATES

Gail L Rosen

College of Engineering

UNITED STATES

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