Data Mining and Computational Intelligence in Genomics

The book "Data Mining and Computational Intelligence in Genomics" offers a comprehensive analysis of the advancements in life sciences made possible by efficient genome sequencing and biotechnological high-throughput methods. It particularly highlights the significance of microarray technology, which allows for the capture of genomic data at the transcriptional level. This data is often characterized by noise and high dimensionality, making the application of classical statistical methods challenging. The work presents a variety of computational methods and algorithms aimed at extracting valuable biological insights from these complex datasets. Applications range from the functional categorization of unknown genes to the early and precise diagnosis of tumor diseases. A central goal of the computational analysis of gene expression data is to gain regulatory knowledge at the genetic level, enabling a deeper understanding of the functioning of complex cellular systems.