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Supplementary files for the manuscript titled

"Compact Genetic Algorithm-based Feature Selection for Sequence-based Prediction of Dengue-Human Protein Interactions"

Authors: Lopamudra Dey and Anirban Mukhopadhyay

Journal: Submitted to IEEE/ACM Transactions on Computational Biology and Bioinformatics

Supplementary Files

File D1: Excel file containing experimentally validated DENV-human PPIs. Columns include human and dengue protein names, human protein's Entrez gene id, dengue serotype, paper name, author name and PubMed id (XLSX)
File D2: Parameter Setting values of all feature selection algorithms compared in this study. (DOCX)
File D3: Excel file containing the feature subset used in this study. (XLSX)
File D4: Mean, Median, Standard Deviation and corrected t-test of the accuracies of all 4 classifiers using 10-fold cross-validation of 10 iterations on 1:1 positive:negative training dataset using 54 important features.
File D5: Excel file containing predicted DENV-human PPIs. Columns include predicted human protein's UniProt accession, UniProt name, gene name, protein description, Entrez gene id of predicted human proteins, prediction score and predicted dengue protein. (XLSX)
File D6: Excel file containing predicted DENV-human PPIs supported by multiple works of literature. Columns include predicted human proteins name, Entrez gene id, dengue protein/serotype/Dengue RNA and paper name. (XLSX)
File D7: Excel file containing predicted human proteins that interact with other viruses. (XLSX)
File D8: Excel file containing predicted human proteins' GO terms. (XLSX)
File D9: The flowchart of the methodology used in this paper. (PNG)