Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors
Motivation: Identification of virulence factors (VFs) is critical to the elucidation of bacterial pathogenesis and prevention of related infectious diseases. Current computational methods for VF prediction focus on binary classification or involve only several class(es) of VFs with sufficient sample...
Saved in:
Main Authors: | , , , , |
---|---|
格式: | text |
語言: | English |
出版: |
Institutional Knowledge at Singapore Management University
2020
|
主題: | |
在線閱讀: | https://ink.library.smu.edu.sg/sis_research/7038 https://ink.library.smu.edu.sg/context/sis_research/article/8041/viewcontent/btaa230.pdf |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Singapore Management University |
語言: | English |