COVID-19 concerns and interests differ with socioeconomic status: Twitter Analysis. - Samah J. Fodeh; Sabrina Su; Aarthi Venkat; Lisa B. Puglisi (AMIA, 2021)

Twitter-based analysis reveals differential COVID-19 concerns across areas with socioeconomic disparities. - Yihua Su; Aarthi Venkat; Yadush Yadav; Lisa B. Puglisi; Samah J. Fodeh (Comput. Biol. Medicine, 2021)

Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer. - Matthew Amodio; Scott E. Youlten; Aarthi Venkat; Beatriz P. San Juan; Christine L. Chaffer; Smita Krishnaswamy (Patterns, 2022)

Inferring Dynamic Regulatory Interaction Graphs From Time Series Data With Perturbations. - Dhananjay Bhaskar; Daniel Sumner Magruder; Matheo Morales; Edward De Brouwer; Aarthi Venkat; Frederik Wenkel; Guy Wolf; Smita Krishnaswamy (LoG, 2023)

Graph Fourier MMD for Signals on Graphs. - Samuel Leone; Aarthi Venkat; Guillaume Huguet; Alexander Tong 001; Guy Wolf; Smita Krishnaswamy (CoRR, 2023)

Inferring dynamic regulatory interaction graphs from time series data with perturbations. - Dhananjay Bhaskar; Daniel Sumner Magruder; Edward De Brouwer; Aarthi Venkat; Frederik Wenkel; Guy Wolf; Smita Krishnaswamy (CoRR, 2023)

Directed Scattering for Knowledge Graph-Based Cellular Signaling Analysis. - Aarthi Venkat; Joyce A. Chew; Ferran Cardoso Rodriguez; Christopher J. Tape; Michael Perlmutter; Smita Krishnaswamy (ICASSP, 2024)

Mapping the gene space at single-cell resolution with gene signal pattern analysis. - Aarthi Venkat; Samuel Leone; Scott E. Youlten; Eric Fagerberg; John Attanasio; Nikhil S. Joshi; Michael Perlmutter; Smita Krishnaswamy (Nat. Comput. Sci., 2024)