Advanced Analysis Of Gene Expression Microarray Data is popular PDF and ePub book, written by Aidong Zhang in 2006-06-27, it is a fantastic choice for those who relish reading online the Science genre. Let's immerse ourselves in this engaging Science book by exploring the summary and details provided below. Remember, Advanced Analysis Of Gene Expression Microarray Data can be Read Online from any device for your convenience.
Advanced Analysis Of Gene Expression Microarray Data Book PDF Summary
This book focuses on the development and application of the latest advanced data mining, machine learning, and visualization techniques for the identification of interesting, significant, and novel patterns in gene expression microarray data.Biomedical researchers will find this book invaluable for learning the cutting-edge methods for analyzing gene expression microarray data. Specifically, the coverage includes the following state-of-the-art methods:• Gene-based analysis: the latest novel clustering algorithms to identify co-expressed genes and coherent patterns in gene expression microarray data sets• Sample-based analysis: supervised and unsupervised methods for the reduction of the gene dimensionality to select significant genes. A series of approaches to disease classification and discovery are also described• Pattern-based analysis: methods for ascertaining the relationship between (subsets of) genes and (subsets of) samples. Various novel pattern-based clustering algorithms to find the coherent patterns embedded in the sub-attribute spaces are discussed• Visualization tools: various methods for gene expression data visualization. The visualization process is intended to transform the gene expression data set from high-dimensional space into a more easily understood two- or three-dimensional space.
Detail Book of Advanced Analysis Of Gene Expression Microarray Data PDF
- Author : Aidong Zhang
- Release : 27 June 2006
- Publisher : World Scientific Publishing Company
- ISBN : 9789813106642
- Genre : Science
- Total Page : 356 pages
- Language : English
- PDF File Size : 13,5 Mb
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