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...

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Bibliographic Details
Main Authors: ZHENG, Dandan, PANG, Guansong, LIU, Bo, CHEN, Lihong, YANG, Jian
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2020
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Online Access:https://ink.library.smu.edu.sg/sis_research/7038
https://ink.library.smu.edu.sg/context/sis_research/article/8041/viewcontent/btaa230.pdf
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Institution: Singapore Management University
Language: English