M. Abdul Mottalib

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  • Shaikh Jeeshan, Kabeer Moin, Mahmud Tanvee, Md Arifur Rahman, Abdul Mottalib, Md Hasanul Kabir
  • 2012
Modern microarray chips can hold gene information from thousands of genes and hundreds of individuals and the main challenge of an effective feature selection method is to identify most useful genes from the whole dataset. Removal of less informative genes helps to alleviate the effects of noise and redundancy and simplifies the task of disease(More)
Predicting the class of gene expression profiles helps improve the diagnosis and treatment of diseases. Analysing huge gene expression data otherwise known as microarray data is complicated due to its high dimensionality. Hence the traditional classifiers do not perform well where the number of features far exceeds the number of samples. A good set of(More)
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