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Anglický jazyk
Data Mining Approach for Classifying Gene Expression Data of Cancer
Autor: Vibhav Prakash Singh
Microarray data has been widely applied to cancer classification, where the purpose is to classify and predict the category of a sample by its gene expression profile. DNA microarray is a gene chip which consists of expression levels for a huge number of... Viac o knihe
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O knihe
Microarray data has been widely applied to cancer classification, where the purpose is to classify and predict the category of a sample by its gene expression profile. DNA microarray is a gene chip which consists of expression levels for a huge number of genes on a relatively small number of samples. Out of this huge number of genes, only a small number are contributing to accurate cancer classification. So the challenging task is to identify a small subset of informative genes which have maximum amount of information about class and it also minimizes the classification errors. Recently, data mining has become a a great tool for the process of extracting the hidden and useful information from huge noisy data sets.
- Vydavateľstvo: LAP LAMBERT Academic Publishing
- Rok vydania: 2013
- Formát: Paperback
- Rozmer: 220 x 150 mm
- Jazyk: Anglický jazyk
- ISBN: 9783659391446
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