Search Results - microarray data analysis ‐ integrated differential fuzzy clustering for microarray data analysis

Integrated Differential Fuzzy Clustering for Analysis of Microarray Data by Saha, Indrajit, Maulik, Ujjwal

“…This chapter contains sections titled: Introduction Clustering Algorithms and Validity Measure Differential Evolution Based Fuzzy Clustering Experimental…”
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Improvement of new automatic differential fuzzy clustering using SVM classifier for microarray analysis by Saha, Indrajit, Maulik, Ujjwal, Bandyopadhyay, Sanghamitra, Plewczynski, Dariusz

“… In recent year, the problem of clustering in microarray data has been gaining significant attention…”
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Fuzzy clustering analysis of microarray data by Han, Lixin, Zeng, Xiaoqin, Yan, Hong

“… This paper proposes a fuzzy clustering method for microarray data analysis. An advantage of the method is that it used a combination of the fuzzy c-means…”
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Use of multiobjective differential fuzzy clustering with ANN classifier for unsupervised pattern classification: Application to microarray analysis by Saha, Indrajit

“… Fuzzy clustering is an important tool for analyzing microarray gene expression data. However, this fact motivated us to present a new multiobjective evolutionary algorithm using differential evolution and artificial neural network (ANN…”
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Fuzzy mixed-prototype clustering algorithm for microarray data analysis by Liu, Jin, Pham, Tuan D., Yan, Hong, Liang, Zhizhen

“…) clustering for microarray data analysis. By integrating spherical and hyper-planar cluster prototypes, the FMP is capable of capturing latent data models with both spherical and non-spherical geometric structures…”
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Analysis of microarray data using multiobjective variable string length genetic fuzzy clustering by Mukhopadhyay, A., Bandyopadhyay, S., Maulik, U.

“…In this article, a novel multiobjective variable string length real coded genetic fuzzy clustering scheme for clustering microarray gene expression data has been proposed…”
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A modified fuzzy co-clustering (MFCC) approach for microarray data analysis by Sheng-Yao Huang, Hsing-Jen Sun, Chuen-Der Huang, I-Fang Chung, Chun-Hung Su

“… Hence, identification of a subset of genes showing similar regulations under subsets of condition in microarray data has become an important research issue…”
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FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data by Fu, Limin, Medico, Enzo

“…Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarray…”
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Fuzzy ensemble clustering based on random projections for DNA microarray data analysis by Avogadri, Roberto, Valentini, Giorgio

“…Two major problems related the unsupervised analysis of gene expression data are represented by the accuracy and reliability of the discovered clusters, and by the biological fact that the boundaries…”
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A two-stage meta-heuristic approach to general type-ii fuzzy clustering for microarray data analysis by Torshizi, Abolfazl Doostparast, Fazel Zarandi, Mohammad Hossein, Niakan Kalhori, Masoomeh Rostam

“…This paper considers the microarray gene expression data clustering using a novel two stage meta-heuristic algorithm based on the concept of a-planes in general type-2 fuzzy sets…”
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A Hybrid Fuzzy C-Means Clustering for Microarray Gene Expression Data with a Mixture of Principal Component Analysis by Valarmathie, P

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Application of Fuzzy c-Means and Self-organizing maps for genes clustering in mouse brain microarray data analysis by Sheng-Hsiung Chiu, Meng-Hsiun Tsai, Hsieh-Chung Wu, Wei-Chun Chen, Shrestha, U., Sherwin Kuo

“… from them. However, the brain science research still does not have a standard platform to analyze microarray data…”
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Multi-Objective Differential Evolution for Automatic Clustering with Application to Micro-Array Data Analysis by 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…”
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RNA-Seq vs Dual- and Single-Channel Microarray Data: Sensitivity Analysis for Differential Expression and Clustering by Sîrbu, Alina, Kerr, Gráinne, Crane, Martin, Ruskin, Heather J.

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RNA-Seq vs Dual- and Single-Channel Microarray Data: Sensitivity Analysis for Differential Expression and Clustering by Sîrbu, Alina, Kerr, Gráinne, Crane, Martin, Ruskin, Heather J.

“… This is based on mRNA sequencing (RNA-seq), which complements the already mature technology of microarrays, and is expected to overcome some of the latter's disadvantages…”
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RNA-Seq vs Dual- and Single-Channel Microarray Data: Sensitivity Analysis for Differential Expression and Clustering by Sîrbu, Alina, Kerr, Gráinne, Crane, Martin, Ruskin, Heather J.

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Categorical data analysis using multiobjective differential evolution based fuzzy clustering by Saha, Indrajit, Maity, Debasree, Maulik, Ujjwal

“… fields of engineering and science. Hence, in this article, Multiobjective Differential Evolution based Fuzzy Clustering for Categorical Data is proposed…”
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Integrated Rough Fuzzy Clustering for Categorical data Analysis by Saha, Indrajit, Sarkar, Jnanendra Prasad, Maulik, Ujjwal

“…In recent times, advanced data mining research has been mostly focusing on clustering of categorical data, where a natural ordering in attribute values is missing…”
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An integrated fuzzy clustering cooperative game data envelopment analysis model with application in hospital efficiency by Omrani, Hashem, Shafaat, Khatereh, Emrouznejad, Ali

“…•To introduce an Integrated Fuzzy Clustering Cooperative Game DEA.•To provide a clustering technique to deal with lack of homogeneity among DMUs…”
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An Integrated Time Series Gene Expression Data Analysis Pipeline with a Fuzzy Clustering method to assess Expression Patterns by Yankilevich, P., Barrero, P.R., Zwir, I.

“… In order to fully explore this type of data we developed an integrated time series gene expression analysis pipeline…”
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