6 citations · 11 across the 5 of their papers we have counts for
6 papers
DMol: A Highly Efficient and Chemical Motif-Preserving Molecule Generation Platform
Peizhi Niu, Yu-Hsiang Wang, Vishal Rana +3
We introduce a new graph diffusion model for small molecule generation, DMol, which outperforms the state-of-the-art DiGress model in terms of validity by roughly 1.5% across all b…
Federated Aggregation of Mallows Rankings: A Comparative Analysis of Borda and Lehmer Coding
Jin Sima, Vishal Rana, Olgica Milenkovic
Rank aggregation combines multiple ranked lists into a consensus ranking. In fields like biomedical data sharing, rankings may be distributed and require privacy. This motivates th…
Interpretable Online Network Dictionary Learning for Inferring Long-Range Chromatin Interactions
Vishal Rana, Jianhao Peng, Chao Pan +4
Dictionary learning (DL) is commonly used in computational biology to tackle ubiquitous clustering problems due to its conceptual simplicity and relatively low computational comple…
Semi-Quantitative Group Testing for Efficient and Accurate qPCR Screening of Pathogens with a Wide Range of Loads
Ananthan Nambiar, Chao Pan, Vishal Rana +4
Pathogenic infections pose a significant threat to global health, affecting millions of people every year and presenting substantial challenges to healthcare systems worldwide. Eff…
Machine Unlearning of Federated Clusters
Chao Pan, Jin Sima, Saurav Prakash +2
Federated clustering (FC) is an unsupervised learning problem that arises in a number of practical applications, including personalized recommender and healthcare systems. With the…
AC-DC: Amplification Curve Diagnostics for Covid-19 Group Testing
Ryan Gabrys, Srilakshmi Pattabiraman, Vishal Rana +4
The first part of the paper presents a review of the gold-standard testing protocol for Covid-19, real-time, reverse transcriptase PCR, and its properties and associated measuremen…