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Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate

2017-11-24

Abstract excerpt

The knowledge of protein function is essential for the study of biological processes, the understanding of disease mechanism and the exploration of novel therapeutic target. Apart from experimental methods, a number of in-silico approaches have been developed and extensively used for protein function prediction. Among these approaches, BLAST predicts functions based on protein sequence similarity, and machine lear...

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Literature Corpus work
6e9dbe2e-1a4d-51cb-ab0e-aaa83852577b
DOI
10.20944/preprints201711.0160.v1
Open publication

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Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery RateDOI 10.20944/preprints201711.0160.v1
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