This is a quick project on finding the top genes in analyzing a recent study on the effects of Epstein-Barre Virus (EBV) targeted immune response genes affected in a commercial line of nasopharyngeal carcinoma (NCP) samples. The genes found were top stimulated or inhibited genes with fold change values eliminating the mean samples with 0. The random forest model for classification scored 100% on the training set and testing set of only 2 samples each in a 2 class predictor model for training set and 100% in predicting the correct class from only 1 sample of each class. Gene study used is GSE271486, a recent study with links to gene expression data as well as the published PubMed report produced by same researchers.

exploratory analysis of blogs, news and twitter text datasets

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