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- W1993344918 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." @default.
- W1993344918 created "2016-06-24" @default.
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- W1993344918 date "2015-01-01" @default.
- W1993344918 modified "2023-09-25" @default.
- W1993344918 title "Prediction of protein function using trust based cumulative strategies" @default.
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- W1993344918 doi "https://doi.org/10.1109/icaccs.2015.7324107" @default.
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