Landscape of Next Generation Sequencing Using Pattern Recognition: Performance Analysis and Applications (Hardcover)

1. Introduction: Fundamentals of Next Generation Sequencing, Pattern Recognition, Biomedical Images 2. Integrating DNA Methylation, Linear Regression and Machines Learning on RNA-seq Data 3. Multi-objective Optimization-based Association Rule Mining Integral Approach for Optimal Ranking and Directional Signature Classification of Multi-omic Data 4. Dimensionality Reduction, Clustering and Biomarkers Discovery on Single-cell RNA-seq Data 5. Application of Detecting Discriminant Features from Stationary Nucleotide Base Pattern to the Classification of Essential Genes 6. Integrating Deep Learning and Next Generation Medical Image Data for Rare Disease Stage Detection 7. Conclusions and Scope for Further Research