METHODOLOGY FOR SELECTING MICROARRAY BIOMARKER GENES FOR CANCER CLASSIFICATION

Gene Ranking Techniques via Attribute Evaluation Algorithms for DNA Microarray Analysis

Machine Learning Model for Cancer Diagnosis based on RNAseq Microarray

Statistical learning machines from ATR to DNA micro arrays: design, assessment, and advice for practitioners

Spectral Features Based on Bidirectional Long Short-Term Memory for DNA Classification

Large-scale Histopathological Colon Cancer Annotation Model Using Machine Learning Techniques

Cancer Classification using Data Mining Applications

Livin gene expression in breast carcinoma: correlation with prognostic factors and patient outcome

Applying the Linear Spectral Estimation Techniques for both DNA Sequence Analysis and Exon Region Prediction

MicroRNA Applications in Human Cancers