JASA Jan 23, 2026

Heterogeneous gene network estimation for single-cell transcriptomic data via a joint regularized deep neural network

Authors
Jingyuan Yang Tao Li Tianyi Wang Shuangge Ma Mengyun Wu
Research Topics
Machine Learning
View Full Paper
Paper Information
  • Journal:
    Journal of the American Statistical Association
  • DOI:
    10.1080/01621459.2026.2615185
  • Published:
    January 23, 2026
  • Added to Tracker:
    Feb 10, 2026
Author Details
Jingyuan Yang
Author
Tao Li
Author
Tianyi Wang
Author
Shuangge Ma
Author
Mengyun Wu
Author
Research Topics & Keywords
Machine Learning
Research Area
Citation Information
APA Format
Jingyuan Yang , Tao Li , Tianyi Wang , Shuangge Ma & Mengyun Wu (2026) . Heterogeneous gene network estimation for single-cell transcriptomic data via a joint regularized deep neural network. Journal of the American Statistical Association , 10.1080/01621459.2026.2615185.
BibTeX Format
@article{paper756,
  title = { Heterogeneous gene network estimation for single-cell transcriptomic data via a joint regularized deep neural network },
  author = { Jingyuan Yang and Tao Li and Tianyi Wang and Shuangge Ma and Mengyun Wu },
  journal = { Journal of the American Statistical Association },
  year = { 2026 },
  doi = { 10.1080/01621459.2026.2615185 },
  url = { https://doi.org/10.1080/01621459.2026.2615185 }
}
Back to Papers