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In this article, we describe multilayer perceptron model for selection of some possible human leukemia genes mediating different disease. The procedure involves grouping of gene based correlation coefficient using human leukemia gene expression data sets. The usefulness of the procedure has been demonstrated human leukemia expression data sets. The superiority of the procedure has been established...
DNA microarrays are normally used to measure the expression values of thousands of several genes simultaneously in the form of large matrices. This raw gene expression data may contain some missing cells. These missing values may affect the analysis performed subsequently on these gene expression data. Several imputation methods, like K-Nearest Neighbor Imputation (KNNImpute), Singular Value Decomposition...
In this article, we have used an index, called Gaussian fuzzy index (GFI), recently developed by the authors, based on the notion of fuzzy set theory, for validating the clusters obtained by a clustering algorithm applied on cancer gene expression data. GFI is then used for the identification of genes that have altered quite significantly from normal state to carcinogenic state with respect to their...
In the present article, we develop a linguistic recognition system for identification of some possible genes mediating the development of human lung adenocarcinoma. The methodology involves dimensionality reduction, classifying the genes through incorporation of the notion of linguistic fuzzy sets low, medium and high, and finally selection of some possible genes obtained by a rule generation/grouping...
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