Author

Beatriz P. San Juan

Garvan Institute of Medical ResearchORCID 0000-0002-7868-6298Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Assay:scRNA-seq· 3 Assay:spatial transcriptomics· 3 Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Approach:deep learning· 2 Assay:bulk RNA-seq· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Christine Louise ChafferiD· 3 shared Aarthi VenkatiD· 2 shared Matthew AmodioiD· 2 shared Scott E. YoulteniD· 2 shared Smita KrishnaswamyiD· 2 shared Andrew BenziD· 1 shared Annelie MollbrinkiD· 1 shared Apoorva D. Mavatkar· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Christine Louise ChafferORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 11, 2024

AAnet resolves a continuum of spatially-localized cell states to unveil tumor complexity

Aarthi Venkat, Scott E. Youlten, Beatriz P. San Juan…·Christine Louise Chaffer

AAnet identifies archetypal cell states in single-cell data to reveal tumor heterogeneity and spatial organization.

3 citations

𝕏 PostBluesky

Systems BiologybioRxivPreprintSep 30, 2023

Multi-modal transcriptomic analysis unravels enrichment of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer

Sarthak Sahoo, Soundharya Ramu, Madhumathy G Nair…·Mohit Kumar Jolly

The paper uses multi-modal transcriptomic data to show basal breast cancer exhibits hybrid epithelial/mesenchymal states and higher phenotypic heterogeneity compared to luminal breast cancer.

2 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsPatternsPeer-reviewedSep 1, 2022

Single-Cell Multi-Modal GAN (scMMGAN) reveals spatial patterns in single-cell data from triple negative breast cancer

Matthew Amodio, Scott E. Youlten, Aarthi Venkat…·Smita Krishnaswamy

scMMGAN integrates multi-omic data to reveal spatial patterns in triple negative breast cancer, showing improved alignment and novel gene associations.

21 citations

𝕏 PostBluesky