載入...
Global importance analysis: An interpretability method to quantify importance of genomic features in deep neural networks
Deep neural networks have demonstrated improved performance at predicting the sequence specificities of DNA- and RNA-binding proteins compared to previous methods that rely on k-mers and position weight matrices. To gain insights into why a DNN makes a given prediction, model interpretability method...
Na minha lista:
| 發表在: | PLoS Comput Biol |
|---|---|
| Main Authors: | , , , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Public Library of Science
2021
|
| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8118286/ https://ncbi.nlm.nih.gov/pubmed/33983921 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008925 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|