Výsledky vyhledávání - "Microarray Data Clustering"

Statistical Analysis of Microarray Data Clustering using NMF, Spectral Clustering, Kmeans, and GMM Autor Mirzal, Andri

“…In unsupervised learning literature, the study of clustering using microarray gene expression datasets has been extensively conducted with nonnegative matrix…”
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Bioinformatics: microarray data clustering and functional classification Autor Juan, Hsueh-Fen, Huang, Hsuan-Cheng

“…The human genome project has opened up a new page in scientific history. To this end, a variety of techniques such as microarray has evolved to monitor the…”
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An Enhanced Aquila Algorithm for Microarray Data Clustering Autor Chandra, Saurav, Kumar, Sumit, Kumar, Yugal

“… In this study, we embark on the application of the Aquila optimization algorithm for microarray data clustering by proposing an Enhanced Aquila Algorithm (EAMC…”
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An integrated tool for microarray data clustering and cluster validity assessment Autor Bolshakova, Nadia, Azuaje, Francisco, Cunningham, Pádraig

“…In this paper we present a data mining system, which allows the application of different clustering and cluster validity algorithms for DNA microarray data…”
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A simple and robust algorithm for microarray data clustering based on gene population-variance ratio metric Autor Chatterjee, Soumyadeep, Bhattacharjee, Kasturi, Konar, Amit

“…, which is almost an inherent characteristic of microarray data. Clustering is one tool used to mine meaningful patterns from microarray data…”
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Segmentation of Multivariate Mixed Data via Lossy Data Coding and Compression Autor Yi Ma, Derksen, H., Wei Hong, Wright, J.

“…In this paper, based on ideas from lossy data coding and compression, we present a simple but effective technique for segmenting multivariate mixed data that…”
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Assessment of Microarray Data Clustering Results Based on a New Geometrical Index for Cluster Validity Autor Lam, Benson S. Y., Yan, Hong

“…A measurement of cluster quality is often needed for DNA microarray data analysis. In this paper, we introduce a new cluster validity index, which measures…”
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Multi-Objective Differential Evolution for Automatic Clustering with Application to Micro-Array Data Analysis Autor Suresh, Kaushik, Kundu, Debarati, Ghosh, Sayan, Das, Swagatam, Abraham, Ajith, Han, Sang Yong

“…This paper applies the Differential Evolution (DE) algorithm to the task of automatic fuzzy clustering in a Multi-objective Optimization (MO) framework. It…”
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Combining LPP with PCA for microarray data clustering Autor Chuanliang Chen, Rongfang Bie, Ping Guo

“…DNA microarray technique has produced large amount of gene expression data. To analyze these data, many excellent machine learning techniques have been…”
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TriRNSC: triclustering of gene expression microarray data using restricted neighbourhood search Autor Biswal, Bhawani Sankar, Patra, Sabyasachi, Mohapatra, Anjali, Vipsita, Swati

“…Computational analysis of microarray data is crucial for understanding the gene behaviours and deriving meaningful results. Clustering and biclustering of gene…”
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Microarray data clustering based on temporal variation: FCV with TSD preclustering Autor Möller-Levet, Carla S, Cho, Kwang-Hyun, Wolkenhauer, Olaf

“…The aim of this paper is to present a new clustering algorithm for short time-series gene expression data that is able to characterise temporal relations in…”
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A hybrid PSO-GSA strategy for high-dimensional optimization and microarray data clustering Autor Shiquan Sun, Qinke Peng

“…High-dimensional data analysis and its great chances of overfitting result in great challenges for constructing efficient models in practical applications. To…”
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Microarray data clustering and visualization tool using self-organizing maps Autor Marasigan, Zach Andrei, Dionisio, Abigaile, Solano, Geoffrey

“…Microarray is one of the technologies used in the interdisciplinary science of Biolnformatics. Its primary objective is to discover biological knowledge among…”
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Subdimension-based similarity measure for DNA microarray data clustering Autor Lam, Benson S. Y., Yan, Hong

“…Microarray data analysis is useful for understanding biological processes. A number of clustering algorithms have been used to achieve this task. However, the…”
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Genomic signal processing for enhanced microarray data clustering Autor Sungoor, Ala M. H

“…Genomic signal processing is a new area of research that combines genomics with digital signal processing methodologies for enhanced genetic data analysis…”
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Statistical significance and biological relevance of microarray data clustering Autor Guo, Junhai

“…DNA microarray is a powerful tool for monitoring expression level of large number of genes simultaneously. Various clustering methods have been applied to…”
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Binary tree-structured vector quantization approach to clustering and visualizing microarray data Autor Sultan, M., Wigle, D.A., Cumbaa, C.A., Maziarz, M., Glasgow, J., Tsao, M.S., Jurisica, I.

“…Motivation: With the increasing number of gene expression databases, the need for more powerful analysis and visualization tools is growing. Many techniques…”
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Determining Potential Yeast Longevity Genes via PPI Networks and Microarray Data Clustering Analysis Autor Chen, Bernard, Doolabh, Roshan, Fusheng Tang

“…Identification of genes involved in lifespan extension is a pre-requisite for studying aging and age-dependent diseases. So far, very few genes have been…”
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Fractal dimension and wavelet decomposition for robust microarray data clustering Autor Istepanian, Robert S. H., Sungoor, Ala, Nebel, Jean-Christophe

“… In this paper, we present a comparative analysis of two genomic signal processing methods for robust microarray data clustering…”
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Linear Predictive Coding and Wavelet Decomposition for Robust Microarray Data Clustering Autor Istepanian, R.S.H., Sungoor, A., Nebel, J.-C.

“… In this paper, we present a comparative analysis of two genomic signal processing methods namely linear predictive coding and discrete wavelet decomposition for robust microarray data clustering…”
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