Published: 02 March, 2018 | Volume 2 - Issue 1 | Pages: 049-057
Figure 1:
A brief flowchart template for computational prediction PTM sites. Firstly, the dataset was collected from the published database. Secondly, then need to be preprocessed the collected datasets for making proper positive and negative samples. Thirdly, the resulting encoded feature vectors were independently put into the statistical learning models to produce independent prediction scores. Finally, optimum performance scores were calculated by using cross-validation and parameter optimization, a confident cutoff was considered to identify the PTM site.
Read Full Article HTML DOI: 10.29328/journal.apb.1001005 Cite this Article Read Full Article PDF
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