Читать книгу Machine Learning Techniques and Analytics for Cloud Security - Группа авторов - Страница 61

The output of the proposed algorithm is a set of genes which are identified as their expression level changes significantly and can be referred as genes having correlation with cancer. The algorithm actually is experimented with some authentic dataset accessible from NCBI database. Two datasets, viz., lung and colon, have been utilized for examination purpose. Data of both normal and carcinogenic states are given as the input of the algorithm to generate the target output. The algorithm follows a hybrid approach where PCA has been incorporated for minimization of dimensionality of the dataset. Then, prepared logistic model is applied as a binary classifier to detect the collection of genes which might have possible relation with cancer. Our developed PC-LR model is applied on both lung and colon data.