NDLI: Coevolution based prediction of protein-protein interactions with reduced training data

Content Provider	IEEE Xplore Digital Library
Author	Pamuk, B. Can, T.
Copyright Year	2010
Description	Author affiliation: Department of Computer Engineering, Middle East Technical University, Middle East Technical University, 06531, Ankara, Turkey (Pamuk, B.; Can, T.)
Abstract	Protein-protein interactions are important for the prediction of protein functions since two interacting proteins usually have similar functions in a cell. In this work, our aim is to predict protein-protein interactions with a known portion of the interaction network when there are large numbers of protein interactions in the data set. Phylogenetic profiles of proteins form the feature vectors for training Support Vector Machine (SVM). To reduce the training time of SVM we reduced the data size by k-means and MEB clustering techniques and we applied feature selection methods by selecting most representative features by phylogenetic tree and Fisher's Exact Test methods. The training data clustered by the k-means method gave superior results in prediction accuracies.
Starting Page	187
Ending Page	193
File Size	274559
Page Count	7
File Format	PDF
ISBN	9781424459681
e-ISBN	9781424459704
DOI	10.1109/HIBIT.2010.5478884
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-20
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Protein engineering Training data Genomics Data engineering Organisms Protein sequence Phylogeny Bioinformatics Testing
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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