Decoding disease through cutting-edge algorithms

Decoding disease through cutting-edge algorithms

Decoding disease through cutting-edge algorithms

Decoding disease through cutting-edge algorithms

LATEST PUBLICATIONS

CellNEST reveals cell–cell relay networks using attention mechanisms on spatial transcriptomics

Nature Methods, 2025

Zohora FT*, Paliwal D*, Flores-Figueroa E, Li J, Gao T, Notta F & Schwartz GW

TooManyCellsInteractive: A visualization tool for dynamic exploration of single-cell data

GigaScience, 2024

Klamann C*, Lau CJ*, Ruiz-Ramírez J, and Schwartz GW

AnnoSpat annotates cell types and quantifies cellular arrangements from spatial proteomics

Nature Communications, 2024

Mongia A, Zohora FT, Burget NG, Zhou Y, Saunders DC, Wang YJ, Brissova M, Powers AC, Kaestner KH, Vahedi G, Naji A, Schwartz GW^, and Faryabi RB^.

Single-cell multi-omics analysis of human pancreatic islets reveals novel cellular states in type 1 diabetes.

Nat Metab, 2022

Fasolino M*, Schwartz GW*, Patil AR, Mongia A, Golson ML, Wang YJ, Morgan A, Liu C, Schug J, Liu J, Wu M, Traum D, Kondo A, May CL, Goldman N, Wang W, Feldman M, Moore JH, Japp AS, Betts MR; HPAP Consortium, Faryabi RB, Naji A, Kaestner KH, Vahedi G.

RESEARCH