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A combination of hybrid methods to select informative genes form mixed­lineage leukemia cancer

Mohamad, Mohd. Saberi and Omatu, Sigeru and Deris, Safaai and Yoshioka, Michifumi (2008) A combination of hybrid methods to select informative genes form mixed­lineage leukemia cancer. In: Advances in Bioinformatics. Penerbit UTM , Johor, 51-64 . ISBN 978-983-52-0624-5

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Abstract

The traditional cancer diagnosis relies on a complex and inexact combination of clinical and histopathological data. This classic approach may fail when dealing with atypical tumours or morphologically indistinguishable tumour subtypes. Advances in the area of microarray-based expression analysis have led to the promise of cancer diagnosis using new molecular-based approaches (Wang et al., 2007). A microarray machine is used to measure the expression levels of thousands of genes simultaneously in a cell mixture, and finally it produces microarray data. The task of cancer classification using microarray data is to classify tissue samples into related classes of phenotypes, e.g., cancer versus normal (Mohamad et al., 2007).

Item Type:Book Section
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:14295
Deposited By: Liza Porijo
Deposited On:23 Aug 2011 05:36
Last Modified:23 Aug 2011 05:36

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