Results 211 to 220 of about 2,557,835 (263)

Selection of stable reference genes in prunus persica fruit infected with monilinia laxa for normalisation of RT-qPCR gene expression data. [PDF]

Sci Rep
Lizzio A, Battaglia V, Lahoz E, Reverberi M, Petriccione M.   +4 more
europepmc   +1 more source

Online-adjusted evolutionary biclustering algorithm to identify significant modules in gene expression data. [PDF]

Brief Bioinform
Galindo-Hernández R, Rodríguez-Vázquez K, Galán-Vásquez E, Hernández Castellanos CI.   +3 more
europepmc   +1 more source

EXTRACTING CONSERVED GENE EXPRESSION MOTIFS FROM GENE EXPRESSION DATA [PDF]

Biocomputing 2003, 2002
We propose a representation for gene expression data called conserved gene expression motifs or XMOTIFs. A gene's expression level is conserved across a set of samples if the gene is expressed with the same abundance in all the samples. A conserved gene expression motif is a subset of genes that is simultaneously conserved across a subset of samples ...
T. M. Murali 0001, Simon Kasif
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Biclustering in gene expression data by tendency

Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004., 2004
The advent of DNA microarray technologies has revolutionized the experimental study of gene expression. Clustering is the most popular approach of analyzing gene expression data and has indeed proven to be successful in many applications. Our work focuses on discovering a subset of genes which exhibit similar expression patterns along a subset of ...
Jinze Liu, Jiong Yang 0001, Wei Wang 0010   +2 more
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Fuzzy clustering of gene expression data

2002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE'02. Proceedings (Cat. No.02CH37291), 2003
Microarray techniques have recently made it possible to monitor simultaneously the activity of thousands of genes. They offer new insights into the biology of a cell. However, the data produced by microarrays poses several challenges to overcome. One major task in the analysis of microarray data is to reveal structures in the data despite its large ...
Matthias E. Futschik, Nikola K. Kasabov
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Analysis of Microarray Gene Expression Data

Current Bioinformatics, 2006
Microarrays provide the biological research community with tremendously rich, sensitive and detailed information on gene expression profiles. Gene expression profiling and gene expression patterns have been found useful for solving a wide variety of important biological and biomedical problems, including the study of metabolic pathways, inference of ...
Pham, T. D., Wells, C., Crane, D. I.
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A database for globin gene expression data

Proceedings of the Twenty-Eighth Hawaii International Conference on System Sciences, vol.5, 2002
We describe a prototype database of sequence alignments and experimental results for the /spl beta/-like globin gene cluster of mammals. This data repository is intended to help the international community of globin gene biologists to plan experiments, to design models and, ultimately, to understand regulation of those genes.
Webb Miller, Ahmed Elsherbini, Jamie Peck, Cathy Riemer, Scott Schwartz, Nikola Stojanovic, Ross C. Hardison   +6 more
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Metalearning for Gene Expression Data Classification

2008 Eighth International Conference on Hybrid Intelligent Systems, 2008
Machine Learning techniques have been largely applied to the problem of class prediction in microarray data. Nevertheless, current approaches to select appropriate methods for such task often result unsatisfactory in many ways, instigating the need for the development of tools to automate the process.
Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Carlos Soares   +2 more
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Microarray gene expression data analysis

2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (IEEE Cat No. 04EX821), 2005
Image analysis is a crucial step in processing microarray data generated by gene expression studies, which have been used extensively in understanding the molecular mechanisms of injury and recovery. A novel image analysis method utilizing an efficient snake-based multichannel image segmentation algorithm is proposed to analyze the microarray data. The
Yuhua Ding, Jacqueline Fairley, George J. Vachtsevanos, Andrew Gardner, Petia Simeonova   +4 more
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MOACO Biclustering of gene expression data

International Journal of Functional Informatics and Personalised Medicine, 2010
Many bioinformatics data sets come from DNA microarray experiments. Biclustering of gene expression data can identify genes with similar behaviour with respect to different conditions. Ant Colony Optimisation (ACO) algorithms have been shown to be effective problem solving strategies for a wide range of problem domains.
Junwan Liu, Zhoujun Li 0001, Xiaohua Hu 0001, Yiming Chen 0002   +3 more
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