Read Advanced Analysis Of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics) by Aidong Zhang Online
[Aidong Zhang] ✓ Advanced Analysis Of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics) ☆ Download Online eBook or Kindle ePUB. Advanced Analysis Of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics) 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. 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. Various novel pattern-based clustering algorithms to f
Title | : | Advanced Analysis Of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics) |
Author | : | |
Rating | : | 4.32 (529 Votes) |
Asin | : | 9812566457 |
Format Type | : | paperback |
Number of Pages | : | 356 Pages |
Publish Date | : | 2014-08-11 |
Language | : | English |
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. 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. 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.. 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 s
"A great book for statistician at all level" according to Yiyi. This book is very well written, in great detail and clarity. The title "Advanced" sounds daunting to some intermediate or entry level statisticians, but the math details in the book is very understandable, presented as necessary support in order to understand the explained statistical methods. Did not endup using it. it was too concise to be useful in my class. Might be useful in yours. Preparing to sell it this fall.
Download Advanced Analysis Of Gene Expression Microarray Data (Science, Engineering, and Biology Informatics)
Download as PDF : Click Here
Download as DOC : Click Here
Download as RTF : Click Here