ロード中...
MHCAttnNet: predicting MHC-peptide bindings for MHC alleles classes I and II using an attention-based deep neural model
MOTIVATION: Accurate prediction of binding between a major histocompatibility complex (MHC) allele and a peptide plays a major role in the synthesis of personalized cancer vaccines. The immune system struggles to distinguish between a cancerous and a healthy cell. In a patient suffering from cancer...
保存先:
| 出版年: | Bioinformatics |
|---|---|
| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2020
|
| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7355292/ https://ncbi.nlm.nih.gov/pubmed/32657386 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btaa479 |
| タグ: |
タグ追加
タグなし, このレコードへの初めてのタグを付けませんか!
|