Development and Application of Computational Methods in Biological and Medical Data

Author(s): Hui Ding

Journal Name: Combinatorial Chemistry & High Throughput Screening
Accelerated Technologies for Biotechnology, Bioassays, Medicinal Chemistry and Natural Products Research

Volume 23 , Issue 6 , 2020

DOI : 10.2174/138620732306200612105300

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[1]
Cheng, L. Computational and biological methods for gene therapy. Curr. Gene Ther., 2019, 19, 210.
[http://dx.doi.org/10.2174/156652321904191022113307] [PMID: 31762421]
[2]
Tan, J.X.; Lv, H.; Wang, F.; Dao, F-Y.; Chen, W.; Ding, H. A Survey for predicting enzyme family classes using machine learning methods. Curr. Drug Targets, 2019, 20, 540-550.
[http://dx.doi.org/10.2174/1389450119666181002143355] [PMID: 30277150]
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Zou, Q. Latest machine learning techniques for biomedicine and bioinformatics. Curr. Bioinform., 2019, 14, 176-177.
[http://dx.doi.org/10.2174/157489361403190220112855]
[4]
Yang, W.; Zhu, X.J.; Huang, J.; Ding, H.; Lin, H. A brief survey of machine learning methods in protein sub-Golgi localization. Curr. Bioinform., 2019, 14, 234-240.
[http://dx.doi.org/10.2174/1574893613666181113131415]
[5]
Huang, Q.L.; Wang, L.; Han, S.G.; Tang, H. Identify 2′-O-methylation site by investigating multi feature extracting techniques. Comb. Chem. High Throughput Screen., 2020, 23(6), 526-535.
[http://dx.doi.org/10.2174/1386207323666200425210609] [PMID: 32334499]
[6]
Zhang, H.; Xi, Q.; Huang, S.; Zheng, L.; Yang, W.; Zuo, Y. iSP-RAAC: Identify secretory proteins of malaria parasite using reduced amino acid composition. Comb. Chem. High Throughput Screen., 2020, 23(6), 536-545.
[http://dx.doi.org/10.2174/1386207323666200402084518] [PMID: 32238133]
[7]
Cui, H.; Zhu, M.; Zhang, J.; Li, W.; Zou, L.; Wang, Y. Identification of differentially expressed genes associated with papillary thyroid carcinoma. Comb. Chem. High Throughput Screen., 2020, 23(6), 546-553.
[http://dx.doi.org/10.2174/1386207323666200402085832] [PMID: 32238134 ]
[8]
Yang, Z.; Wang, J.; Yang, J.; Qi, Z.; He, J. Recognizing proteins with binding function in Elymus nutans based on machine learning methods. Comb. Chem. High Throughput Screen., 2020, 23(6), 554-562.
[http://dx.doi.org/10.2174/1386207323666200330120154] [PMID: 32223731]


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Article Details

VOLUME: 23
ISSUE: 6
Year: 2020
Published on: 05 October, 2020
Page: [525 - 526]
Pages: 2
DOI: 10.2174/138620732306200612105300

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