Výsledky vyhľadávania - "Microarray data analyses"

Intelligent Microarray Data Analysis through Non-negative Matrix Factorization to Study Human Multiple Myeloma Cell Lines Autor Casalino, Gabriella, Coluccia, Mauro, Pati, Maria L., Pannunzio, Alessandra, Vacca, Angelo, Scilimati, Antonio, Perrone, Maria G.

“…Microarray data are a kind of numerical non-negative data used to collect gene expression profiles. Since the number of genes in DNA is huge, they are usually…”
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AUCTSP: an improved biomarker gene pair class predictor Autor Kagaris, Dimitri, Khamesipour, Alireza, Yiannoutsos, Constantin T.

“…Background The Top Scoring Pair (TSP) classifier, based on the concept of relative ranking reversals in the expressions of pairs of genes, has been proposed as…”
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CFSES Optimization Feature Selection with Neural Network Classification for Microarray Data Analysis Autor Patra, Bichitrananda, Bisoyi, Sudhansu Sekhar

“… The number of features or genes is often more than thousands but in another side, the number of instances or subjects is less than hundreds…”
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A Bayesian decision theoretic approach to directional multiple hypotheses problems Autor Bansal, Naveen K., Miescke, Klaus J.

“… or more probable than the other direction. Bayes rules subject to constraints on certain directional false discovery rates are obtained, and their performances are compared with a traditional FDR rule through simulation…”
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A novel biclustering algorithm of binary microarray data: BiBinCons and BiBinAlter Autor Saber, Haifa Ben, Elloumi, Mourad

“…The biclustering of microarray data has been the subject of a large research. No one of the existing biclustering algorithms is perfect…”
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Mixture models for microarray data analysis Autor Jia, Zhenyu

“… This Ph.D dissertation is focused on development of mixture models for microarray data analysis…”
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Block principal component analysis with application to gene microarray data classification Autor Liu, Aiyi, Zhang, Ying, Gehan, Edmund, Clarke, Robert

“…We propose a block principal component analysis method for extracting information from a database with a large number of variables and a relatively small number of subjects, such as a microarray gene expression database…”
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A Novel Method for DNA Microarray Data Analysis: SDL Global Optimization Method Autor Shaoguang Li, Dongguang Li

“…The following sections are included: Research Subjects Experimental Design Rationale Fold Change Analysis More Information on SDL Global Optimization Genetic algorithms (GAs…”
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LION bioscience Launches New Version of its Enterprise System for Microarray Data Analysis

“… Such statements are based on current expectations that are subject to risks and uncertainties. Actual results may vary materially from those projected because of factors…”
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Assessing predictive accuracy of survival regressions subject to nonindependent censoring Autor Wang, Ming, Long, Qi, Chen, Chixiang, Zhang, Lijun

“…Survival regression is commonly applied in biomedical studies or clinical trials, and evaluating their predictive performance plays an essential role for model…”
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Contribution of mesothelial cells in the expression of inflammatory-related factors in omental adipose tissue of obese subjects Autor Darimont, C, Avanti, O, Blancher, F, Wagniere, S, Mansourian, R, Zbinden, I, Leone-Vautravers, P, Fuerholz, A, Giusti, V, Mace, K

“…) and stromal vascular fractions (SVF) and localization of interleukin-18 (IL-18) expression in adipose depots. Subjects…”
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FGA isoform as an indicator of targeted therapy for EGFR mutated lung adenocarcinoma Autor Shang, Zhi, Niu, Xiaomin, Zhang, Kewei, Qiao, Zhi, Liu, Sha, Jiang, Xiaoteng, Cao, Chengxi, Lu, Shun, Xiao, Hua

“… Through microarray data analysis, five candidate antibodies were screened out for confirmation in serum samples and the verified one was utilized for candidate protein identification…”
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A Framework for Regularized Non-Negative Matrix Factorization, with Application to the Analysis of Gene Expression Data Autor Taslaman, Leo, Nilsson, Björn

“…Non-negative matrix factorization (NMF) condenses high-dimensional data into lower-dimensional models subject to the requirement that data can only be added, never subtracted…”
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Mfuzz: a software package for soft clustering of microarray data Autor Kumar, Lokesh, E Futschik, Matthias

“… Thus, we constructed an R package termed Mfuzz implementing soft clustering tools for microarray data analysis…”
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Comparative Analysis of Gene Expression Profiles of Human Dental Fluorosis and Kashin-Beck Disease Autor Zhang, Qiang, Ma, Jing, Liu, Haiqing, He, Duolong, Chen, Lilin, Wu, Haikun, Jiang, Hong, Lu, Qing, Bai, Shenglu

“… R programming software was used for the microarray data analysis followed by functional enrichment analysis through KOBAS…”
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Genome-wide mRNA analysis reveals a TUBD1 isoform profile as a potential biomarker for diabetic retinopathy development Autor Villegas-Ruiz, Vanessa, Hendlmeier, Ferdinand, Buentello-Volante, Beatriz, Rodríguez-Loaiza, José L., Miranda-Duarte, Antonio, Zenteno, Juan C.

“…Diabetic retinopathy (DR) affects approximately one third of all diabetic subjects and is the leading cause of blindness in young to middle-aged adults in the developed world…”
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Workflows for microarray data processing in the Kepler environment Autor Stropp, Thomas, McPhillips, Timothy, Ludäscher, Bertram, Bieda, Mark

“…Background Microarray data analysis has been the subject of extensive and ongoing pipeline development due to its complexity, the availability of several options at each analysis step…”
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RNA-Seq Data Mining: Downregulation of NeuroD6 Serves as a Possible Biomarker for Alzheimer’s Disease Brains Autor Kitano, Shouta, Asahina, Naohiro, Yamamoto, Yoji, Satoh, J.-I., Kino, Yoshihiro

“…Alzheimer’s disease (AD) is the most common cause of dementia worldwide with no curative therapies currently available. Previously, global transcriptome…”
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PhenoChipping of psychotic disorders: A novel approach for deconstructing and quantitating psychiatric phenotypes Autor Niculescu, Alexander B., Lulow, Len L., Ogden, Corey A., Le-Niculescu, Helen, Salomon, Daniel R., Schork, Nicholas J., Caligiuri, Michael P., Lohr, James B.

“…—14), and 32 normal controls. Microarray data analysis software and visualization…”
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Inference on the limiting false discovery rate and the p-value threshold parameter assuming weak dependence between gene expression levels within subject Autor Heller, Glenn, Qin, Jing

“…An objective of microarray data analysis is to identify gene expressions that are associated with a disease related outcome…”
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