Eric J. Ma

This paper compares GANs and VAEs for generating viable antibody sequences, finding GANs outperform VAEs when sampling strategies are optimized.

mtx-COBRA improves subcellular localization prediction for bacterial proteins, outperforming PSORTb in accuracy for proteins with unknown localization.

This paper models SARS-CoV-2 spike protein evolution using a neural network and Gaussian process to predict future variants up to five months in advance.

The paper applies hierarchical Bayesian models to high throughput protein melting point data to enable principled decision-making and compares it to maximum-likelihood curve fitting.

Graphein transforms bioinformatics data into machine learning-ready graph representations for geometric deep learning and network analysis.

PO_SCPLOWEAXC_SCPLOW enables interactive visual pattern search in sequential data using unsupervised deep representation learning, outperforming existing techniques in retrieving similar patterns.