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Research on Machine Learning-based Protein-Protein Interaction Extraction

Author: YuHuanHuan
Tutor: ZhouGuoDong
School: Suzhou University
Course: Applied Computer Technology
Keywords: Text Mining Protein relation extraction Machine Learning
CLC: Q51-3
Type: Master's thesis
Year: 2010
Downloads: 86
Quote: 1
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Abstract


With the explosive growth in the field of biomedical literature , automatic acquisition of biomedical knowledge from the biomedical literature has become an important area of bioinformatics research . Since protein interactions relationship has a special significance for the life sciences , and thus protein interaction relation extraction has become hot issues bioinformatics . Due to the complexity and diversity of the biomedical literature , extract protein interactions is a rather difficult task . In this paper, machine learning methods for protein interaction relations extraction in-depth research , the study include: 1 . Research -based the eigenvectors protein relation extraction method , focus on exploring how a variety of surface features extracted from the free text and structural characteristics, and to analyze the contribution of these different characteristics of protein relationship extraction ; proposed relationship extraction method based on the the convolution tree nuclear function of the protein , expression analysis of the structured information on protein relationship extraction impact for to lay a good foundation for further research ; studied protein relation extraction method based on composite kernel function , linear the composite and polynomial composite way based the eigenvectors method and tree - based kernel function method organic combine to effectively capture the relationship instance plane characteristics and structural features . On AIMed Corpus protein relation extraction experiments show that the composite kernel function method based on the eigenvectors and convolution tree kernel function to obtain the highest value of F to 53.7 , reaching the current good level . Of this study and the results obtained on the future relationship of proteins has certain reference value .

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CLC: > Biological Sciences > Biochemistry > Protein
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