Aarthi Venkat
Aarthi Venkat
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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
Beta cells are essential drivers of pancreatic ductal adenocarcinoma development
Disentangling the origin of β cells misexpressing pro-tumorigenic hormones in the context of obesity and other stressors.
C Garcia*, A Venkat*, DC McQuaid*,…,S Krishnaswamy, MD Muzumdar. In Revision.
Paper
Yale Single Cell Symposium 2022
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
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
Multiscale geometric and topological analyses for characterizing and predicting immune responses from single cell data
This review describes approaches to characterize immune heterogeneity at multiple resolutions.
A Venkat, D Bhaskar, S Krishnaswamy.
Cell Trends in Immunology
.
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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