3 papers
cs.LG2020
DeepVir -- Graphical Deep Matrix Factorization for "In Silico" Antiviral Repositioning: Application to COVID-19
Aanchal Mongia, Stuti Jain, Emilie Chouzenoux +1
This work formulates antiviral repositioning as a matrix completion problem where the antiviral drugs are along the rows and the viruses along the columns. The input matrix is part…
q-bio.QM2020
A computational approach to aid clinicians in selecting anti-viral drugs for COVID-19 trials
Aanchal Mongia, Sanjay Kr. Saha, Emilie Chouzenoux +1
COVID-19 has fast-paced drug re-positioning for its treatment. This work builds computational models for the same. The aim is to assist clinicians with a tool for selecting prospec…
cs.LG2019
Deep Latent Factor Model for Collaborative Filtering
Aanchal Mongia, Neha Jhamb, Emilie Chouzenoux +1
Latent factor models have been used widely in collaborative filtering based recommender systems. In recent years, deep learning has been successful in solving a wide variety of mac…