Predicting and interpreting protein and phosphoprotein abundance from pan-cancer and single-cell transcriptomes

iScience 2026 Open access

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Authors: Hui-Mei Tsai, Tzu-Hung Hsiao, Yu‐Chiao Chiu, Yufei Huang, Eric Y. Chuang, Yidong Chen
DOI: 10.1016/j.isci.2026.114815
Cited by: 3
References: 92

Abstract

mRNA, correlated with survival. DeepGxP also accurately predicted the abundance of single-cell surface proteins, confirming cell identification. Our findings underscore DeepGxP's potential in decoding gene-to-protein relationships for cancer biomarker discovery.

Fields of Study & Subjects

Bioinformatics and Genomic Networks Advanced Proteomics Techniques and Applications Single-cell and spatial transcriptomics

Publication details

Journal / source
iScience
Publisher
Elsevier BV
Volume
29
Issue
3
Pages
114815–114815
Publication date
28 January 2026
Language
EN