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An Efficient Feature Extraction Technique Based on Local Coding PSSMand Multifeatures Fusion for Predicting Protein-ProteinInteractions

机译：基于局部编码PSSM的有效特征提取技术和多特征融合预测蛋白互动互动

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Background:Increasing evidence has indicated that protein-protein interactions (PPIs) play important roles in various aspects of the structural and functional organization of a cell. Thus, continuing to uncover potential PPIs is an important topic in the biomedical domain. Although various feature extraction methods with machine learning approaches have enhanced the prediction of PPIs. There remains room for improvement by developing novel and effective feature extraction methods and classifier approaches to identify PPIs.

机译：背景：越来越多的证据表明，蛋白质-蛋白质相互作用（PPI）在细胞的结构和功能组织的各个方面都发挥着重要作用。因此，继续发现潜在的PPI是生物医学领域的重要课题。尽管采用机器学习方法的各种特征提取方法已经增强了PPI的预测。通过开发新颖有效的特征提取方法和分类器方法来识别PPI，仍有改进的空间。

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期刊名称 Evolutionary Bioinformatics Online
作者
Ji-Yong An; Yong Zhou; Yu-Jun Zhao; Zi-Ji Yan;
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作者单位

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年(卷),期 2019(15),-1
年度 2019
页码 1176934319879920
总页数 10
原文格式 PDF
正文语种
中图分类进化论、生物系统发育;
关键词
Protein-protein interactions local coding position-specific scoring matrix multifeatures fusion support vector machine;

机译：蛋白质-蛋白质相互作用;局部编码;位置特异性得分矩阵;多特征融合;支持向量机;

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专利

1. An Efficient Feature Extraction Technique Based on Local Coding PSSM and Multifeatures Fusion for Predicting Protein-Protein Interactions [J] . Ji-Yong An, Yong Zhou, Yu-Jun Zhao, Evolutionary Bioinformatics . 2019,第a期

机译：一种基于局部编码PSSM的有效特征提取技术，包括用于预测蛋白质 - 蛋白质相互作用的多因素融合
2. Multiresolution local binary pattern variants based texture feature extraction techniques for efficient classification of microscopic images of hardwood species [J] . Yadav Arvind R., Anand R. S., Dewal M. L., Applied Soft Computing . 2015,第Null期

机译：基于多分辨率局部二进制模式变体的纹理特征提取技术，可对硬木树种的显微图像进行有效分类
3. Simulation and overall comparative evaluation of performance between different techniques for high band feature extraction based on artificial bandwidth extension of speech over proposed global system for mobile full rate narrow band coder [J] . Ninad S. Bhatt International journal of speech technology . 2016,第4期

机译：在移动全速率窄带编码器全球系统上基于语音的人工带宽扩展的高频带特征提取不同技术之间性能的仿真和总体比较评估
4. Intelligent classification technique of human brain MRI with efficient wavelet based feature extraction using local binary pattern [C] . Sheethal M.S., Kannan B., Varghese A., 2013 International Conference on Control Communication and Computing . 2013

机译：基于局部二值模式的基于小波特征提取的人脑MRI智能分类技术
5. Human biometric verification and recognition based on feature fusion and computer vision techniques. [D] . Meng, Qiang. 1996

机译：基于特征融合和计算机视觉技术的人体生物特征验证和识别。
6. LncLocation: Efficient Subcellular Location Prediction of Long Non-Coding RNA-Based Multi-Source Heterogeneous Feature Fusion [O] . Shiyao Feng, Yanchun Liang, Wei Du, 2020

机译：LNClocation：长期非编码RNA的多源异构特征融合的高效亚细胞位置预测
7. An Efficient Feature Extraction Technique Based on Local Coding PSSM and Multifeatures Fusion for Predicting Protein-Protein Interactions [O] . Ji-Yong An, Yong Zhou, Yu-Jun Zhao, 2019

机译：一种基于局部编码PSSM的有效特征提取技术及预测蛋白质 - 蛋白质相互作用的多因素融合

An Efficient Feature Extraction Technique Based on Local Coding PSSMand Multifeatures Fusion for Predicting Protein-ProteinInteractions

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