GitHub / SWAROOP006 / Machine-Learning-in-Bioinformatics-using-WEKA

Used WEKA machine learning tool to analyze the Breast cancer data and also study Protein characteristics using SMO, naïve byes and IBk models also, data bias was removed using bagging and stacking. R program was used to extract the character-specific protein sequences using the R package PROTr and peptide.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SWAROOP006%2FMachine-Learning-in-Bioinformatics-using-WEKA
PURL: pkg:github/SWAROOP006/Machine-Learning-in-Bioinformatics-using-WEKA

Topics: bioinformatics, bioinformatics-analysis, bioinformatics-pipeline, bioinformatics-scripts, weka, weka-library, weka-package

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