Deep learning based individualized cross-platform molecular subtype classification of B-lineage acute lymphoblastic leukemia
Bowen Cui, Huiying Sun, Shuang Zhao, Rongrong Fan, Jianan Rao, Wenyan Wu, Ying Zhong, Ronghua Wang, Ying Wang, Qiaoqiao Shi, Yuxuan Guo, Jiale Lin, Yuanlu Huang, Yuxuan Han, Hui Liu, Xiaolong Chen, Shuhong Shen, Han Wang, Yu Liu · 2026
Read Deep learning based individualized cross-platform molecular subtype classification of B-lineage acute lymphoblastic leukemia by Bowen Cui, Huiying Sun, Shuang Zhao, Rongrong Fan, Jianan Rao, Wenyan Wu, Ying Zhong, Ronghua Wang, Ying Wang, Qiaoqiao Shi, Yuxuan Guo, Jiale Lin, Yuanlu Huang, Yuxuan Han, Hui Liu, Xiaolong Chen, Shuhong Shen, Han Wang, Yu Liu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13594159.txt.
Description
Bowen Cui and a team of co-authors built a deep learning system that sorts B-cell acute lymphoblastic leukemia into its molecular subtypes from gene activity data alone. Subtype guides modern treatment, yet the growing list of subtypes and the need for complex multi-test workups make classification slow and costly, which their 2026 tool, BALL6, aims to relieve.
The system feeds rank-transformed gene readings into a recurrent neural network, a design that shrugs off differences between testing platforms and tolerates missing values. One model separates B-cell leukemia from its T-cell and myeloid counterparts with near-perfect accuracy on unseen data, while a second assigns twenty established B-cell subtypes with accuracy in the low nineties. It even copes with sparse single-cell data. The code is open and a web tool is provided for clinical and research use.
Catalog record
| CREATOR | Bowen Cui, Huiying Sun, Shuang Zhao, Rongrong Fan, Jianan Rao, Wenyan Wu, Ying Zhong, Ronghua Wang, Ying Wang, Qiaoqiao Shi, Yuxuan Guo, Jiale Lin, Yuanlu Huang, Yuxuan Han, Hui Liu, Xiaolong Chen, Shuhong Shen, Han Wang, Yu Liu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 42848 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |