This section primarily analyses the prior works on the classification of microarray data utilizing the support vector machine (SVM), K-nearest neighbor (KNN), and neural networks (NN)

A case study has shown that a plant with this technology will have a higher single line capacity and a 15-20% lower cost compared to plants based on combinations of steam

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Examples of this type of analysis include protein structure prediction, gene classification, cancer classification based on microarray data, clustering of gene expression data,

After ranging between $2.1 and $3.6 billion during FY2000-FY2006, costs rose to $7.3 billion in FY2009 as higher policy premiums from rising crop prices drove up premium subsidies

We then develop a semi-supervised classification strategy based on BUBBLE and attem p t to classify unclassified yeast O R Fs using three different microarray

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prediction, gene classification, cancer classification based on microarray data, clustering of gene.. expression data, statistical model

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Abstract – In this paper we perform a t-test for significant gene expression analysis in different dimensions based on molecular profiles from microarray data, and compare

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We incubated the three representative paddy soils and a marsh soil with maize straw for six-months at (24°C) and investigated the changes in soil organic carbon (SOC)

Reduction for Classification with Gene Expression Microarray Data. The study report [9] proposed the approach for cancer classification using an expression of very few

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