Classifying Protein-Protein Interaction Type based on Association Pattern with Adjusted Support
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 388
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شناسه ملی سند علمی:
JR_ACSIJ-4-4_012
تاریخ نمایه سازی: 7 آذر 1394
چکیده مقاله:
Proteins carry out their functions by means of interaction.There are two major types of protein-protein interaction (PPI): obligate interaction and transient interaction. In this paper,residues with geographical information on the binding sites are used to discover association patterns for classifying proteininteraction type. We use the support of a frequent pattern as its inference power. However, due to the number of transientexamples are much less than the number of obligate examples,therefore there needs adjustment on the imbalance. Three methods of applying association pattern to classify PPI typeare designed. In the experiment, there are almost same results for three methods. And we reduce effect which is correct rate decreased by data type imbalance.
کلیدواژه ها:
نویسندگان
Huang-Cheng Kuo
Department of Computer Science and Information Engineering National Chiayi University Chia-Yi City ۶۰۰, Taiwan
Ming-Yi Tai
Department of Computer Science and Information Engineering National Chiayi University Chia-Yi City ۶۰۰, Taiwan