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20 articles for “microarray”
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Research ArticleOpen accessEvery word in the titleGene Selection and Classification in Microarray Datasets using a Hybrid Approach of PCC-BPSO/GA with Multi ClassifiersShilan S. Hameed, Fahmi F. Muhammad, Rohayanti Hassan, Faisal SaeedIn this study, a three-phase hybrid approach is proposed for the selection and classification of high dimensional microarray data. The method uses Pearson’s Correlation Coefficient (PCC) in combination with Binary Particle Swarm Optimization (BPSO) or Genetic Algorithm (GA) along with various classifiers, thereby forming a PCC-BPSO/GA-multi classifiers approach. As such, five various classifiers are employed in the final stage of … …Journal of Computer Science, Vol. 14, Issue 6 · 26 Jun 2018 · 9,355 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Algorithm for Determining the Number of Mixture Components on the Bayesian Mixture Model Averaging for Microarray DataAni Budi Astuti, Nur Iriawan, Irhamah, Heri KuswantoThe major challenges on the statistical analysis of microarray data are the limited availability of samples, large number of measured variables and the complexity of distribution of the data obtained (e.g., multimodal). These phenomena could be considered in Bayesian method, used Bayesian Mixture Model (BMM) methods and Bayesian Model Averaging (BMA) methods. Modeling of Bayesian Mixture Model Averaging (BMMA) for … …Journal of Mathematics and Statistics, Vol. 11, Issue 2 · 28 Sep 2015 · 7,136 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Distinguishability Based Weighted Feature Selection Algorithms for Improved Classification of Gene Microarray DatasetJ. Jeyachidra, M. PunithavalliData mining played vital role in comprehending, analyzing, understanding and interpreting microarray technology expression data. That includes search for genes that had similar or correlated patterns of expression. For that, the feature selection was one of the frequently used important techniques for data preprocessing. Many feature selection algorithms had been developed. Yet the persisting problem was in selecting optimal subset … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,376 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Sequence Based Validation of Gene Expression Microarray DataGerhard G. Thallinger, Eva Obermayr, Pornpimol Charoentong et al.Problem statement: Quantitative Reverse Transcription PCR (RT-qPCR) is often used to validate microarray data. Previous studies show different levels of correlation, without further investigation of influencing factors. Approach: We compared expression levels of 381 genes obtained from microarray hybridizations and from TaqMan based RT-qPCR assays. Correlation of expression levels was determined by comparing: (i) single genes across samples, (ii) all … …Current Research in Bioinformatics, Vol. 1, Issue 1 · 19 Jan 2012 · 13,715 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Efficient Unified K-Means Clustering Technique for Microarray Gene Expression DataP. Valarmathie, K. Dinakaran, T. RavichandranProblem statement: Using microarray techniques one could monitor the expressions levels of thousands of genes simultaneously. One challenge was how to derive meaningful insights into expressed data. This might be carried out by clustering techniques such as hierarchical and k-means, but most of the clustering techniques were largely heuristic in nature and are associated with some unresolved issues like how … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,912 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleThe Widely Used Diagnostics "DNA Microarray"-A ReviewR. Manoj KumarProblem statement: DNA microarray technique is one of the latest advances in the field of molecular biology and medicine. It is a multiplex technique used in combination of bioinformatics and statistical data analysis. Since, 1995, the technique offers the possibility of conducting tens or hundreds of thousands of simultaneous hybridizations. Approach: This increased experimental efficiency permits high throughput and whole … …American Journal of Infectious Diseases, Vol. 5, Issue 3 · 30 Sep 2009 · 7,787 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlecDNA Microarray Genome Image Processing Using Fixed Spot PositionBasim Alhadidi, Hussam Nawwaf Fakhouri, Omar S. AlMousaComplementary DNA (cDNA) microarray is one of the most recent and important technology for exploring the genome. cDNA microarray Image analysis aims to measure the intensity for each spot in the scanned image and this intensity represents the amount of a specific gene in the studied cell. This paper presents a new algorithm that achieves an automated way for applying … …American Journal of Applied Sciences, Vol. 3, Issue 2 · 28 Feb 2006 · 7,291 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDISTINGUISHABILITY BASED WEIGHTED FEATURE SELECTION USING COLUMN WISE K NEIGHBORHOOD FOR THE CLASSIFICATION OF GENE MICROARRAY DATASETJeyachidra, PunithavalliIn data mining, much research is being carried out to discover the previously unknown, valid, novel, useful and understandable patterns in large databases. The patterns must be actionable so that they might be used for decision making to a variety of applications in healthcare. In this study, feature subset selection is an important area, where many approaches have been proposed. … …American Journal of Applied Sciences, Vol. 11, Issue 1 · 13 Nov 2013 · 6,794 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMicroarray Analysis of Human Vascular Smooth Muscle Cell Responses to Bacterial LipopolysaccharideJoe Minta James, J. Yun, Sandy Der, Shikha RanaAccumulating evidence suggest a causal role of bacterial and viral infections in atherogenesis. Bacterial lipopolysaccharide (LPS) has been shown to stimulate resting vascular smooth muscle cells (SMC) with the production of inflammatory cytokines and modulation of quiescent cells to the proliferative and synthetic phenotype. To comprehensively identify biologically important genes associated with LPS-induced SMC phenotype modulation, we compared the transcriptomes … …American Journal of Immunology, Vol. 3, Issue 2 · 31 Dec 2007 · 6,994 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDimensionality Reduction using Principal Component Analysis for Cancer Detection based on Microarray Data ClassificationAdiwijaya, Untari N. Wisesty, E. Lisnawati et al.Cancer is one of the most deadly diseases in the world. The International Agency for Research on Cancer (IARC) noted 14.1 million new cancer cases and 8.2 million deaths from cancer in 2012. In the last few years, DNA microarray technology has increasingly been used to analyze and diagnose cancer. Analysis of gene expression data in the form of microarray … …Journal of Computer Science, Vol. 14, Issue 11 · 15 Nov 2018 · 9,930 accessesView PDFCite