Aarthi Venkat
Aarthi Venkat
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Cellular Signaling
AAnet resolves a continuum of spatially-localized cell states to unveil tumor complexity
AAnet is a neural network for nonlinear archetypal analysis of single-cell data.
A Venkat*, S Youlten*,…,S Krishnaswamy, CL Chaffer.
Cancer Discovery
In Revision.
Paper
Code
CSHL Systems Immunology 2021
Manuscript in Revision
Directed Scattering for Knowledge Graph-based Cellular Signaling Analysis
DSAE employs a directed version of a geometric scattering transform for embedding nodes of directed graphs.
A Venkat*, J Chew*, F Cardoso Rodriguez, CJ Tape, M Perlmutter, S Krishnaswamy. ICASSP 2024.
Paper
Code
GSP 2023
Manuscript Published
Graph Fourier MMD for Signals on Graphs
GFMMD embeds signals defined on graphs via an optimal witness function.
S Leone, A Tong, G Huguet, A Venkat, G Wolf, S Krishnaswamy. SampTA 2023.
Paper
Code
SAMPTA 2023
Manuscript Published
Mapping the gene space at single-cell resolution with gene signal pattern analysis
GSPA learns gene-gene relationships from single-cell data by embedding the gene space.
A Venkat, S Leone, S Youlten, E Fagerberg, J Attanasio, NS Joshi, S Krishnaswamy.
Nature Computational Science
2024.
Paper
Blog Post
Code
ISMB 2021
Immunology 2023
Manuscript Published
PD-1 maintains CD8 T cell tolerance towards cutaneous neoantigens
PD-1 avoids immunopathology by preventing CD8 T cells to attain fully functional state.
M Damo, N Hornick, A Venkat,…,S Krishnaswamy, N Joshi.
Nature
2023.
Paper
Manuscript Published
Single-cell analysis reveals transcriptional dynamics in primary parathyroid tissue
The first parathyroid single-cell atlas of primary parathyroid tissue.
A Venkat*, M Carlino*, B Lawton*,…,S Krishnaswamy, D Krause.
Genome Research
2024.
Paper
HypoPara Think Tank 2022
Code
Manuscript Published
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