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Content Provider | IEEE Xplore Digital Library |
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Author | Routray, M. |
Copyright Year | 2015 |
Description | Author affiliation: Dept. of Comput. Sci. & Eng., Silicon Inst. of Technol., Bhubaneswar, India (Routray, M.) |
Abstract | Physical interactions between the proteins in a living organism helps in identification of most protein-protein interaction data. The annotated proteins are previously known by their functions. Their knowledge is definite. The un-annotated proteins are annotated based on estimation of such similar functions. Generally a cluster containing annotated nodes with their adjacent unlabeled nodes is assumed to have homogeneity of functions within. Though the interaction data are generally very noisy, a Bayesian model is presented to predict protein functions after a series of known experiments or several hypotheses over neighborhood properties are conducted or assumed. The experimental results in this effort have shown that there is a better performance in evaluation of weighted accuracy of functions over prediction of data set. |
Starting Page | 1 |
Ending Page | 4 |
File Size | 215895 |
Page Count | 4 |
File Format | |
e-ISBN | 9781479964383 |
DOI | 10.1109/ICACCS.2015.7324107 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2015-01-05 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Proteins Trust Based Accuracy Accuracy Protein Interaction Network Communication systems Genomics Protein Function Prediction algorithms Bioinformatics Testing |
Content Type | Text |
Resource Type | Article |
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