Improving extraction of protein — Protein interaction datasets from KUPS using hashing approach

机译：使用哈希方法改善从KUPS中提取蛋白质-蛋白质相互作用数据集

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The machine learning approaches frequently address the extraction of training datasets from the online databases to build computational or mathematical models. The training data downloaded from the online server and databases are most often carry redundancy and noise. Heuristics methods are most common to filter the data. Dataset filtering process is time consuming and researcher has to do this tedious work. We propose a more generic filter to detect frequent exceptions to increase the quality of generated datasets based on Perl Hash Programming and regular expression methodology. Future development of noise and error reduction approaches is important to make use of the full potential of available database knowledge. We make use of the datasets of protein - protein interaction generated by The University of Kansas Proteomics Service (KUPS).

机译：机器学习方法经常解决从在线数据库中提取训练数据集以建立计算或数学模型的问题。从在线服务器和数据库下载的培训数据通常带有冗余和噪音。启发式方法最常用来过滤数据。数据集过滤过程非常耗时，研究人员必须完成这项繁琐的工作。我们提出了一种更通用的过滤器，以基于Perl哈希编程和正则表达式方法来检测频繁的异常，以提高生成的数据集的质量。噪声和错误减少方法的未来发展对于充分利用可用数据库知识的潜力很重要。我们利用堪萨斯大学蛋白质组学服务（KUPS）生成的蛋白质-蛋白质相互作用数据集。

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来源
《2016 International Conference on Bioinformatics and Systems Biology》|2016年|1-4|共4页
会议地点 Allahabad(IN)
作者
Gautam Kumar; Rajnish Kumar; Manoj Kumar Pal; Pragya Gupta; Rahul Gupta; Somya Mehra;
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作者单位

Department of Applied Science, Indian Institute of Information Technology - Allahabad, India - 211012;

Department of Applied Science, Indian Institute of Information Technology - Allahabad, India - 211012;

Department of Applied Science, Indian Institute of Information Technology - Allahabad, India - 211012;

Department of Electronics Communication Engineering, J U I T, Waknaghat Distt- Solan (H.P.), India - 173234;

Department of Applied Science, Indian Institute of Information Technology - Allahabad, India - 211012;

Institute of Bio-Medical Education and Research, Mangalayatan University, Uttar Pradesh, India - 202145;

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正文语种 eng
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关键词
Proteins; Databases; Feature extraction; Radiation detectors; Filtering; Servers; Computational modeling;

机译：蛋白质;数据库;特征提取;辐射探测器;过滤;服务器;计算模型;

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专利

1. KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions [J] . Jong Cheol Jeong, Patrick Dermyer, Xue-wen Chen Nucleic acids research . 2011,第suppla1期

机译：KUPS：构建具有关联归因的相互作用和非相互作用蛋白对的数据集
2. An approach to improve kernel-based Protein-Protein Interaction extraction by learning from large-scale network data [J] . Lishuang Li, Rui Guo, Zhenchao Jiang, Methods: A Companion to Methods in Enzymology . 2015,第Null期

机译：通过从大规模网络数据中学习来改进基于内核的蛋白质-蛋白质相互作用提取的方法
3. An approach to improve kernel-based Protein-Protein Interaction extraction by learning from large-scale network data [J] . Lishuang Li, Rui Guo, Zhenchao Jiang, Methods: A Companion to Methods in Enzymology . 2015,第Null期

机译：从大规模网络数据学习改善基于核蛋白质 - 蛋白质相互作用提取的方法
4. Improving extraction of protein — Protein interaction datasets from KUPS using hashing approach [C] . Gautam Kumar, Rajnish Kumar, Manoj Kumar Pal, International Conference on Bioinformatics and Systems Biology . 2016

机译：利用散列方法改善kups蛋白质 - 蛋白质相互作用数据集的提取
5. Zein protein interactions and stabilization: Utilizing high-methionine zein proteins to improve the nutritional quality of vegetative plant tissues. [D] . Hinchliffe, Doug Jay. 2003

机译：玉米醇溶蛋白相互作用和稳定化：利用高甲硫氨酸玉米醇溶蛋白来改善植物营养植物的营养质量。
6. KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions [O] . Xue-wen Chen, Jong Cheol Jeong, Patrick Dermyer 2011

机译：KUPS：构建具有关联归因的相互作用和非相互作用蛋白对的数据集
7. KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions [O] . Chen, Xue-wen, Jeong, Jong Cheol, Dermyer, Patrick 2010

机译：KUPS：构建具有关联归因的相互作用和非相互作用蛋白对的数据集

Improving extraction of protein — Protein interaction datasets from KUPS using hashing approach

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