Data Mining and Computational Intelligence in Genomics: Methods for Gene Expression Data Analysis - Couverture souple

Dragomir, Andrei

 
9783639165265: Data Mining and Computational Intelligence in Genomics: Methods for Gene Expression Data Analysis

Synopsis

The advent of efficient genome sequencing tools and high-throughput experimental biotechnology has lead to an enormous progress in life sciences. Among the most important innovations is the microarray technology, which allowed whole genome measurements at transcriptional level. The characteristics of this data include a fair amount of noise and an atypical dimensionality (which makes difficult the use of classic statistics tools ? experimental samples in the order of dozens and measured parameters in thousands or tens of thousands). Therefore, this book presents a series of computational methods and algorithms, capable of extracting valuable biological knowledge from this type of data. Applications of microarrays and subsequent gene expression analysis range from the assignment of functional categories for genes of unknown biological function, to precise and early diagnosis of different tumor malignancies. Besides these, a central goal of computational analysis of gene expression data is the extraction of regulatory knowledge at genetic level that may be used to provide a broader understanding on the functioning of complex cellular systems.

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Présentation de l'éditeur

The advent of efficient genome sequencing tools and high-throughput experimental biotechnology has lead to an enormous progress in life sciences. Among the most important innovations is the microarray technology, which allowed whole genome measurements at transcriptional level. The characteristics of this data include a fair amount of noise and an atypical dimensionality (which makes difficult the use of classic statistics tools ? experimental samples in the order of dozens and measured parameters in thousands or tens of thousands). Therefore, this book presents a series of computational methods and algorithms, capable of extracting valuable biological knowledge from this type of data. Applications of microarrays and subsequent gene expression analysis range from the assignment of functional categories for genes of unknown biological function, to precise and early diagnosis of different tumor malignancies. Besides these, a central goal of computational analysis of gene expression data is the extraction of regulatory knowledge at genetic level that may be used to provide a broader understanding on the functioning of complex cellular systems.

Biographie de l'auteur

Received his B.S. in Electrical Engineering from the Politehnica University, Bucharest, Romania and his M.S. and Ph.D. in Biomedical Engineering from the University of Patras, Greece. He joined the Harrington Department of Bioengineering at Arizona State University as a postdoctoral researcher in December 2006.

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