"TransSSVs: a Transformer-based deep learning model for accurate detection ..."

Jing Meng et al. (2025)

> Home

Details and statistics

DOI: 10.1007/S10489-025-06607-X

access: closed

type: Journal Article

metadata version: 2025-08-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/apin/MengWLSLWJ25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/apin/MengWLSLWJ25
Jing Meng, Jiangyuan Wang, Jingze Liu, Wenkai Song, Ming Li, Aiping Wu, Taijiao Jiang:
TransSSVs: a Transformer-based deep learning model for accurate detection of somatic small variants in paired tumor and normal sequencing data. Appl. Intell. 55(12): 874 (2025)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.