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Hua Tang
Hua Tang
Southwest Medical University
在 swmu.edu.cn 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Predicting diabetes mellitus with machine learning techniques
Q Zou, K Qu, Y Luo, D Yin, Y Ju, H Tang
Frontiers in genetics 9, 515, 2018
8002018
iRNA-PseU: Identifying RNA pseudouridine sites
W Chen, H Tang, J Ye, H Lin, KC Chou
Molecular Therapy-Nucleic Acids 5, 2016
3102016
iTerm-PseKNC: a sequence-based tool for predicting bacterial transcriptional terminators
CQ Feng, ZY Zhang, XJ Zhu, Y Lin, W Chen, H Tang, H Lin
Bioinformatics 35 (9), 1469-1477, 2019
1912019
iOri-Human: identify human origin of replication by incorporating dinucleotide physicochemical properties into pseudo nucleotide composition
CJ Zhang, H Tang, WC Li, H Lin, W Chen, KC Chou
Oncotarget 7 (43), 69783, 2016
1882016
Identifying sigma70 promoters with novel pseudo nucleotide composition
H Lin, ZY Liang, H Tang, W Chen
IEEE/ACM transactions on computational biology and bioinformatics 16 (4 …, 2017
1812017
HBPred: a tool to identify growth hormone-binding proteins
H Tang, YW Zhao, P Zou, CM Zhang, R Chen, P Huang, H Lin
International Journal of Biological Sciences 14 (8), 957, 2018
1772018
Identification of immunoglobulins using Chou's pseudo amino acid composition with feature selection technique
H Tang, W Chen, H Lin
Molecular BioSystems 12 (4), 1269-1275, 2016
1712016
Risk prediction of diabetes: big data mining with fusion of multifarious physical examination indicators
H Yang, Y Luo, X Ren, M Wu, X He, B Peng, K Deng, D Yan, H Tang, ...
Information Fusion 75, 140-149, 2021
1562021
Identification of hormone binding proteins based on machine learning methods
JX Tan, SH Li, ZM Zhang, CX Chen, W Chen, H Tang, H Lin
Math. Biosci. Eng 16 (4), 2466-2480, 2019
1372019
Identification of Secretory Proteins in Mycobacterium tuberculosis Using Pseudo Amino Acid Composition
H Yang, H Tang, XX Chen, CJ Zhang, PP Zhu, H Ding, W Chen, H Lin
BioMed research international 2016 (1), 5413903, 2016
1372016
Identification of bacterial cell wall lyases via pseudo amino acid composition
XX Chen, H Tang, WC Li, H Wu, W Chen, H Ding, H Lin
BioMed research international 2016 (1), 1654623, 2016
1292016
Pro54DB: a database for experimentally verified sigma-54 promoters
ZY Liang, HY Lai, H Yang, CJ Zhang, H Yang, HH Wei, XX Chen, ...
Bioinformatics 33 (3), 467-469, 2017
1212017
MethyRNA: a web server for identification of N6-methyladenosine sites
W Chen, H Tang, H Lin
Journal of Biomolecular Structure and Dynamics 35 (3), 683-687, 2017
1202017
Prediction of cell-penetrating peptides with feature selection techniques
H Tang, ZD Su, HH Wei, W Chen, H Lin
Biochemical and biophysical research communications 477 (1), 150-154, 2016
1012016
Sequence-based predictive modeling to identify cancerlectins
HY Lai, XX Chen, W Chen, H Tang, H Lin
Oncotarget 8 (17), 28169, 2017
882017
Site-divergent delivery of terminal propargyls to carbohydrates by synergistic catalysis
RZ Li, H Tang, L Wan, X Zhang, Z Fu, J Liu, S Yang, D Jia, D Niu
Chem 3 (5), 834-845, 2017
842017
IonchanPred 2.0: a tool to predict ion channels and their types
YW Zhao, ZD Su, W Yang, H Lin, W Chen, H Tang
International Journal of Molecular Sciences 18 (9), 1838, 2017
632017
A two-step discriminated method to identify thermophilic proteins
H Tang, RZ Cao, W Wang, TS Liu, LM Wang, CM He
International Journal of Biomathematics 10 (04), 1750050, 2017
612017
Identify and analysis crotonylation sites in histone by using support vector machines
WR Qiu, BQ Sun, H Tang, J Huang, H Lin
Artificial intelligence in medicine 83, 75-81, 2017
582017
RAMPred: identifying the N1-methyladenosine sites in eukaryotic transcriptomes
W Chen, P Feng, H Tang, H Ding, H Lin
Scientific reports 6 (1), 31080, 2016
582016
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