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  1. Bog
  2. Biovidenskab: generelt
  3. Genetik (ikke-medicinsk)

Advanced Analysis Of Gene Expression Microarray Data

Af: Aidong Zhang Engelsk Hardback

Advanced Analysis Of Gene Expression Microarray Data

Af: Aidong Zhang Engelsk Hardback
Tjek vores konkurrenters priser

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.

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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 356
ISBN-13: 9789812566454
Indbinding: Hardback
Udgave:
ISBN-10: 9812566457
Kategori: Genetik (ikke-medicinsk)
Udg. Dato: 28 jun 2006
Længde: 25mm
Bredde: 156mm
Højde: 234mm
Forlag: World Scientific Publishing Co Pte Ltd
Oplagsdato: 28 jun 2006
Forfatter(e): Aidong Zhang
Forfatter(e) Aidong Zhang

Kategori Genetik (ikke-medicinsk)

ISBN-13 9789812566454

Sprog Engelsk

Indbinding Hardback

Sider 356

Udgave

Længde 25mm

Bredde 156mm

Højde 234mm

Udg. Dato 28 jun 2006

Oplagsdato 28 jun 2006

Forlag World Scientific Publishing Co Pte Ltd

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