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Microarray experiments usually generate data sets with multiple missing expression values, due to several problems. In this paper, a new and robust method based on fuzzy clustering and gene ontology is proposed to estimate missing values in microarray data. In the proposed method, missing values are imputed with values generated from cluster centers. To determine the similar genes in clustering process,...
Gene expression profiling plays an important role in a broad range of areas in biology. The raw gene expression data, may contain missing values. It is an important preprocessing step to accurately estimate missing values in microarray data, because complete datasets are required in numerous expression profile analysis. Numerous methods have been developed to deal with missing values. In this paper,...
Cluster-based reconstruction is a feature based method that shown promising results in improvement of speech recognition accuracy but in low SNR values and multiple clusters, classification of noisy vectors is badly degrade the recognition accuracy. Main idea of this paper is to take advantage of phonetic properties and phonetic clustering to overcome disadvantage of classification step. We proposed...
In this paper we propose a traffic isolation method to be used in cluster-based broadcasting algorithms. For internal broadcast traffic, cluster-heads and gateways are responsible for re-broadcasting but for external ones, border nodes may perform the forwarding function as well. This simplifies the gateway selection method through the local selection of gateway nodes by its cluster head. This reduces...
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