期刊论文、会议论文

Jiang, Xingpeng(xpjiang@mail.ccnu.edu.cn)

英文

IEEE/ACM Transactions on Computational Biology and Bioinformatics

1545-5963

2022

19

3

1322-1333

18th Asia Pacific Bioinformatics Conference (APBC)

AUG 18-20, 2020

ELECTR NETWORK

[Ma, Yingjun;He, Tingting;Jiang, Xingpeng] Cent China Normal Univ, Sch Comp, Wuhan 430079, Hubei, Peoples R China.^[Ma, Yingjun] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Hubei, Peoples R China.^[He, Tingting;Jiang, Xingpeng] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan 430079, Hubei, Peoples R China.^[Tan, Yuting] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.^[Tan, Yuting] Hubei Key Lab Math Sci, Wuhan 430079, Hubei, Peoples R China.

10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA

IEEE COMPUTER SOC

10.1109/TCBB.2020.3008157

National Key Research and Development Program of China (Grant Number: 2017YFC0909502) 10.13039/501100001809-National Natural Science Foundation of China (Grant Number: 61872157 and 61532008)

本校为第一机构

Infectious diseases are currently the most important and widespread health problem, and identifying viral infection mechanisms is critical for controlling diseases caused by highly infectious viruses. Because of the lack of non-interactive protein pairs and serious imbalance between positive and negative sample ratios, the supervised learning algorithm is not suitable for prediction. At the same time, due to the lack of information on viral proteins and significant dissimilarity in sequence, some ensemble learning models have poor generalization ability. In this paper, we propose a Sequence-Ba...