shinyDeepGxP: a user-friendly R shiny app for predicting surface protein abundance from scRNA-seq expression using deep learning in blood cells
- DOI
- 10.1093/bioadv/vbag203
- Published
- 2026
- Container
- Bioinformatics Advances
- Publisher
- Oxford University Press (OUP)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1093/bioadv/vbag203,
title = {shinyDeepGxP: a user-friendly R shiny app for predicting surface protein abundance from scRNA-seq expression using deep learning in blood cells},
author = {Hui-Mei Tsai and Tzu-Hung Hsiao and Yu-Ching Hsu and Li-Ju Wang and Yu-Chiao Chiu and Eric Y Chuang and Yidong Chen},
year = {2026},
journal = {Bioinformatics Advances},
doi = {10.1093/bioadv/vbag203},
url = {https://doi.org/10.1093/bioadv/vbag203}
}RIS
TY - JOUR TI - shinyDeepGxP: a user-friendly R shiny app for predicting surface protein abundance from scRNA-seq expression using deep learning in blood cells AU - Hui-Mei Tsai AU - Tzu-Hung Hsiao AU - Yu-Ching Hsu AU - Li-Ju Wang AU - Yu-Chiao Chiu AU - Eric Y Chuang AU - Yidong Chen PY - 2026 JO - Bioinformatics Advances DO - 10.1093/bioadv/vbag203 UR - https://doi.org/10.1093/bioadv/vbag203 ER -
APA
Tsai, H., Hsiao, T., Hsu, Y., Wang, L., Chiu, Y., Chuang, E. Y., & Chen, Y. (2026). shinyDeepGxP: a user-friendly R shiny app for predicting surface protein abundance from scRNA-seq expression using deep learning in blood cells. Bioinformatics Advances. https://doi.org/10.1093/bioadv/vbag203
Source records
- crossref · retrieved 2026-09-26T22:06:44.646Z