Portada del libro de Biclustering of Microarray Gene Expression Data :
Título del libro:

Biclustering of Microarray Gene Expression Data :

With Heuristic Approach

LAP LAMBERT Academic Publishing (2015-06-23 )

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ISBN-13:

978-3-659-74639-0

ISBN-10:
3659746398
EAN:
9783659746390
Idioma del libro:
Inglés
Notas y citas / Texto breve:
Extracting meaningful information from gene expression data poses a great challenge to the community of researchers in the field of computation as well as to biologists. It is possible to determine the behavioral patterns of genes such as nature of their interaction, similarity of their behavior and so on, through the analysis of gene expression data.In order to identify various patterns from gene expression data, data mining techniques are essential. Major data mining techniques which can be applied for the analysis of gene expression data include clustering, classification, association rule mining etc. Clustering is an important data mining technique for the analysis of gene expression data. However clustering has some disadvantages. To overcome the problems associated with clustering, biclustering is introduced.
Editorial:
LAP LAMBERT Academic Publishing
Sitio web:
https://www.lap-publishing.com/
Por (autor):
Balamurugan Rengeswaran, Natarajan Annadasampalayam Mathaiyan, Premalatha Kandasamy
Número de páginas:
56
Publicado en:
2015-06-23
Stock:
Disponible
Categoría:
Informática
Precio:
35.90 €
Palabras clave:
Biclustering, Cuckoo Search, Gene Expression Data, MSR

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