Learning transferable deep convolutional neural networks for the classification of bacterial virulence factors

• Main Authors: ZHENG, Dandan, PANG, Guansong, LIU, Bo, CHEN, Lihong, YANG, Jian
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Artificial Intelligence and Robotics; OS and Networks
• 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
• Institution: Singapore Management University

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...