Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
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Updated
Nov 19, 2020 - R
Predicts anticancer peptides using random forests trained on the n-gram encoded peptides. The implemented algorithm can be accessed from both the command line and shiny-based GUI.
Edit-distance algorithm for text-processing and scoring for each sentiment (+1, 0, -1).
Tools for filtering k-mer data
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