Author
The University of Texas at ArlingtonORCID 0000-0002-5322-9947Unclaimed ORCID profile · follow to get notified of new preprints
3 papers
Recent·Most cited
This study uses AI to predict TCR-pMHC structures and identifies structural features that better predict immune interactions than sequence-based features.
Michael Robben, Balan Ramesh, Shana H. Pau…·Jeffery P. Demuth
The paper uses scRNA-seq to identify novel genetic pathways and sex chromosome regulation in Tribolium spermatogenesis, revealing divergence from Drosophila and X chromosome silencing.
Michael Robben, Mohammad Sadegh Nasr, Avishek Das…·Jacob M. Luber
The paper compares machine learning methods for re-annotating bacterial genes to improve KEGG pathway network accuracy.