"PSRTTCA: A new approach for improving the prediction and characterization ..."

Phasit Charoenkwan et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.COMPBIOMED.2022.106368

access: closed

type: Journal Article

metadata version: 2024-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/cbm/CharoenkwanPNHM23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/cbm/CharoenkwanPNHM23
Phasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, Md. Mehedi Hasan, Mohammad Ali Moni, Pietro Lio', Watshara Shoombuatong:
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learning. Comput. Biol. Medicine 152: 106368 (2023)

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.