Results 11 to 20 of about 23,939,903 (293)

Iterative Group Analysis (iGA): A simple tool to enhance sensitivity and facilitate interpretation of microarray experiments [PDF]

, 2004
BACKGROUND: The biological interpretation of even a simple microarray experiment can be a challenging and highly complex task. Here we present a new method (Iterative Group Analysis) to facilitate, improve, and accelerate this process.
Amtmann, A., Herzyk, P., Breitling, R.
core   +7 more sources

Towards data grids for microarray expression profiles [PDF]

, 2006
The UK DTI funded Biomedical Research Informatics Delivered by Grid Enabled Services (BRIDGES) project developed a Grid infrastructure through which research into the genetic causes of hypertension could be supported by scientists within the large ...
Bayliss, C., Sinnott, R.O.
core   +7 more sources

Analysis of cDNA microarray images [PDF]

Briefings in Bioinformatics, 2001
Microarrays are part of a new class of biotechnologies that allow the monitoring of expression levels for thousands of genes simultaneously. Image analysis is an important aspect of microarray experiments, one that can have a potentially large impact on subsequent analyses, such as clustering or the identification of differentially expressed genes ...
Yee Hwa Yang, Michael J. Buckley, Terence P. Speed   +2 more
openaire   +2 more sources

Microarray Analysis in Glioblastomas [PDF]

, 2015
Microarray analysis in glioblastomas is done using either cell lines or patient samples as starting material. A survey of the current literature points to transcript-based microarrays and immunohistochemistry (IHC)-based tissue microarrays as being the preferred methods of choice in cancers of neurological origin. Microarray analysis may be carried out
Bhawe, Kaumudi M, Aghi, Manish K
openaire   +4 more sources

EMMA 2-A MAGE-compliant system for the collaborative analysis and integration of microarray data [PDF]

, 2009
Dondrup M, Albaum S, Griebel T, et al. EMMA 2-A MAGE-compliant system for the collaborative analysis and integration of microarray data. BMC Bioinformatics.
Jünemann, Sebastian, Kahlke, Tim, Dondrup Michael, Christiane K Kleindt, Küster, Helge, Albaum, Stefan P, Goesmann, Alexander ; https://orcid.org/, Pühler Alfred, Heiko Neuweger, Runte Kai J, Mittard-Runte Virginie, Mertens, Dominik, Mittard-Runte, Virginie, Runte, Kaj J, Kuester, Helge, Henckel, Kolja, Linke Burkhard, Albaum, Stefan ; https://orcid.org/, Albaum, Stefan P., Tauch Andreas, Tim Kahlke, Goesmann Alexander, Pühler, Alfred ; https://orcid.org/, Goesmann, Alexander, Stefan P Albaum, Burkhard Linke, Kai J Runte, Helge Küster, Tauch, Andreas, Tille, Felix, Kleindt Christiane K, Virginie Mittard-Runte, Sebastian Jünemann, Küster Helge, Kolja Henckel, Griebel, Thasso, Kleindt, Christiane K., Kleindt, Christiane Katja, Griebel Thasso, Jünemann Sebastian, Neuweger Heiko, Alfred Pühler, Dondrup, Michael, Alexander Goesmann, Henckel Kolja, Kleindt, Christiane K, Andreas Tauch, Neuweger, Heiko, Linke, Burkhard, Dominik Mertens, Pühler, Alfred, Albaum Stefan P, Tille Felix, Kahlke Tim, Michael Dondrup, Thasso Griebel, Runte, Kai J., Felix Tille, Mertens Dominik   +58 more
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Microarray analysis in the Archaeon Halobacterium salinarum strain R1 [PDF]

, 2007
Background: Phototrophy of the extremely halophilic archaeon Halobacterium salinarum was explored for decades. The research was mainly focused on the expression of bacteriorhodopsin and its functional properties.
Wende Andy, Welzl, G., Wende, Andy, Oesterhelt, Dieter, Wende, A., Markus Panhuysen, Panhuysen, Markus, Dieter Oesterhelt, Pfeiffer Friedhelm, Soppa, Jörg (Prof. Dr.), Jens Twellmeyer, Pfeiffer, F., Soppa Jörg, Pfeiffer, Friedhelm, Twellmeyer, Jens, Wolfertz, J., Zaigler, Alexander, Oesterhelt Dieter, Jörg Soppa, Wolfertz Jan, Zaigler Alexander, Welzl Gerhard, Andy Wende, Soppa, J., Zaigler, A., Alexander Zaigler, Wolfertz, Jan, Oesterhelt, D., Welzl, Gerhard, Friedhelm Pfeiffer, Panhuysen, M., Twellmeyer Jens, Gerhard Welzl, Jan Wolfertz, Panhuysen Markus, Twellmeyer, J.   +35 more
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MicroClAn: Microarray clustering analysis [PDF]

Journal of Parallel and Distributed Computing, 2013
Evaluating clustering results is a fundamental task in microarray data analysis, due to the lack of enough biological knowledge to know in advance the true partition of genes. Many quality indexes for gene clustering evaluation have been proposed. A critical issue in this domain is to compare and aggregate quality indexes to select the best clustering ...
BRUNO, GIULIA, FIORI, ALESSANDRO
openaire   +2 more sources

Methylation Analysis by Microarray [PDF]

, 2009
Differential methylation hybridization (DMH) is a high-throughput DNA methylation screening tool that utilizes methylation-sensitive restriction enzymes to profile methylated fragments by hybridizing them to a CpG island microarray. This array contains probes spanning all the 27,800 islands annotated in the UCSC Genome Browser. Herein we describe a DMH
Daniel E, Deatherage, Dustin, Potter, Pearlly S, Yan, Tim H-M, Huang, Shili, Lin   +4 more
openaire   +2 more sources

Information visualization for DNA microarray data analysis: A critical review [PDF]

, 2008
Graphical representation may provide effective means of making sense of the complexity and sheer volume of data produced by DNA microarray experiments that monitor the expression patterns of thousands of genes simultaneously.
Kuljis, J, Liu, X, Zhang, Leishi, Zhang, L, Kujis, J.N., Liu, Xiaohui   +5 more
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Copasetic analysis: a framework for the blind analysis of microarray imagery [PDF]

, 2004
The official published version can be found at the link below.From its conception, bioinformatics has been a multidisciplinary field which blends domain expert knowledge with new and existing processing techniques, all of which are focused on a common ...
Liu, X, Wang, Z, Fraser, K, O'Neill, P
core   +1 more source