Multimodal mapping

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
AAnet resolves a continuum of spatially-localized cell states to unveil tumor complexity
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
Beta cells are essential drivers of pancreatic ductal adenocarcinoma development
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
Single-cell analysis reveals transcriptional dynamics in primary parathyroid tissue
Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer
scMMGAN uses adversarial learning to integrate single-cell and spatial modalities.

M Amodio, SE Youlten, A Venkat,…,CL Chaffer, S Krishnaswamy. Cell Patterns.
Paper Code Manuscript Published
Single-cell multi-modal GAN reveals spatial patterns in single-cell data from triple-negative breast cancer