Results 1 to 10 of about 94,435 (164)

Association Analysis Techniques for Discovering Functional Modules from Microarray Data

Nature Precedings, 2008
An application of great interest in microarray data analysis is the identification of a group of genes that show very similar patterns of expression in a data set, and are expected to represent groups of genes that perform common/similar functions, also ...
Gaurav Pandey, Gowtham Atluri, Vipin Kumar, Michael Steinbach   +3 more
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Spectral estimation techniques for DNA sequence and microarray data analysis

Current Bioinformatics, 2007
Spectral estimation techniques are widely used in modern signal processing systems. Recently, they have found important applications to the analysis of DNA data.
Pham, Tuan D., Yan, Hong
core   +3 more sources

Microarray Technique, Analysis, and Applications in Dermatology [PDF]

Journal of Investigative Dermatology, 2013
The Human Genome Project, completed in 2003, identified the sequence of the approximately 25,000 genes that comprise the human genome. Knowledge of the structure of the human genome opened the doors to studying the actual function of specific genes, which is necessary to understanding health and disease.
Villaseñor-Park, Jennifer, Ortega-Loayza, Alex G.   +1 more
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Adaptive techniques for microarray image analysis with related quality assessment [PDF]

Journal of Electronic Imaging, 2007
We propose novel techniques for microarray image analysis. In particular, we describe an overall pipeline able to solve the most common problems of microarray image analysis. We pro- pose the microarray image rotation algorithm (MIRA) and the statis- tical gridding pipeline (SGRIP) as two advanced modules devoted to restoring the original microarray ...
Sebastiano Battiato, Gianpiero di Blasi, Giovanni Maria Farinella, Giovanni Gallo, Giuseppe Claudio Guarnera   +4 more
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Identification of humoral immune responses in protein microarrays using DNA microarray data analysis techniques [PDF]

Bioinformatics, 2006
Abstract Motivation: We present a study of antigen expression signals from a newly developed high-throughput protein microarray technique. These signals are a measure of antibody–antigen binding activity and provide a basis for understanding humoral immune responses to various infectious agents and supporting vaccine and diagnostic ...
Suman Sundaresh, Denise L. Doolan, Siddiqua Hirst, Yunxiang Mu, Berkay Unal, D. Huw Davies, Philip L. Felgner, Pierre Baldi   +7 more
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Multi-membership gene regulation in pathway based microarray analysis [PDF]

, 2011
This article is available through the Brunel Open Access Publishing Fund. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use,
Payne, AM, Pavlidis Stelios P, Swift Stephen M, Stephen M Swift, Pavlidis, SP, Payne Annette M, Swift, SM, Annette M Payne, Stelios P Pavlidis   +8 more
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Visualization-based cancer microarray data classification analysis [PDF]

, 2007
MOTIVATION: Methods for analyzing cancer microarray data often face two distinct challenges: the models they infer need to perform well when classifying new tissue samples while at the same time providing an insight into the patterns and gene ...
Minca Mramor, Demsar, Janez, Zupan, Blaz, Mramor, Minca, Leban, Gregor, Gregor Leban, Blaž Zupan, Janez Demšar   +7 more
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Comparison of microarray and SAGE techniques in gene expression analysis of human glioblastoma [PDF]

Cytology and Genetics, 2007
To enhance glioblastoma (GB) marker discovery we compared gene expression in GB with human normal brain (NB) by accessing SAGE Genie web site and compared obtained results with published data. Nine GB and five NB SAGE-libraries were analyzed using the Digital Gene Expression Displayer (DGED), the results of DGED were tested by Northern blot analysis ...
Kavsan, V.M., Dmitrenko, V.V., Shostak, K.O., Bukreieva, T.V., Vitak, N.Y., Simirenko, O.E., Malisheva, T.A., Shamayev, M.I., Rozumenko, V.D., Zozulyay, Y.A.   +9 more
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A temporal precedence based clustering method for gene expression microarray data [PDF]

, 2010
Background: Time-course microarray experiments can produce useful data which can help in understanding the underlying dynamics of the system. Clustering is an important stage in microarray data analysis where the data is grouped together according to ...
Li Chang-Tsun, Buchanan-Wollaston, Vicky, Chang-Tsun Li, Vicky Buchanan-Wollaston, Krishna, Ritesh V., Ritesh Krishna, Buchanan-Wollaston Vicky, Krishna Ritesh, Li, Chang-Tsun   +8 more
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Computational Intelligence Techniques for Classification in Microarray Analysis [PDF]

, 2010
During the last few years there has been a growing need for using computational intelligence techniques to analyze microarray data. The aim of the system presented in this study is to provide innovative decision support techniques for classifying data from microarrays and for extracting knowledge about the classification process.
De Paz, Juan F., Bajo Pérez, Javier, Rodríguez González, Sara, Corchado Rodríguez, Juan Manuel   +3 more
openaire   +2 more sources