Latest Machine Learning Techniques for Biomedicine and Bioinformatics

Author(s): Quan Zou

Journal Name: Current Bioinformatics

Volume 14 , Issue 3 , 2019

DOI : 10.2174/157489361403190220112855

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[1]
Jing X, Dong Q, Lu R, Dong Q. Protein inter-residue contacts prediction: methods, performances and applications. Curr Bioinform 2019; 14(3): 178-89.
[2]
Zhang J, Liu B. A review on the recent developments of sequence-based protein feature extraction methods. Curr Bioinform 2019; 14(3): 190-9.
[3]
Liu L, Wang H. The recent applications and developments of bioinformatics and omics technologies in traditional chinese medicine. Curr Bioinform 2019; 14(3): 200-10.
[4]
Fang M, Lei X, Guo L. A survey on computational methods for essential proteins and genes prediction. Curr Bioinform 2019; 14(3): 211-25.
[5]
Jia C, Gong H, Zhu Y, Shi Y. The computational prediction methods for linear b-cell epitopes. Curr Bioinform 2019; 14(3): 226-33.
[6]
Yang W, Zhu XJ, Huang J, Ding H, Lin H. A brief survey of machine learning methods in protein sub-Golgi localization. Curr Bioinform 2019; 14(3): 234-40.
[7]
Zhang H, Zhan M, Chang H, Song S, Zhang C, Liu Y. Research progress of exogenous plant mirnas in cross-kingdom regulation. Curr Bioinform 2019; 14(3): 241-5.
[8]
Qu K, Zou Q. A review of DNA-binding protein prediction methods. Curr Bioinform 2019; 14(3): 246-54.


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Article Details

VOLUME: 14
ISSUE: 3
Year: 2019
Page: [176 - 177]
Pages: 2
DOI: 10.2174/157489361403190220112855

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