Results 1 to 10 of about 25,843,290 (286)

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

BMC Bioinformatics, 2009
Background Understanding transcriptional regulation by genome-wide microarray studies can contribute to unravel complex relationships between genes.
Mertens Dominik, Linke Burkhard, Küster Helge, Kleindt Christiane K, Kahlke Tim, Jünemann Sebastian, Henckel Kolja, Griebel Thasso, Albaum Stefan P, Dondrup Michael, Mittard-Runte Virginie, Neuweger Heiko, Runte Kai J, Tauch Andreas, Tille Felix, Pühler Alfred, Goesmann Alexander   +16 more
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Robust gene selection methods using weighting schemes for microarray data analysis

BMC Bioinformatics, 2017
Background A common task in microarray data analysis is to identify informative genes that are differentially expressed between two different states. Owing to the high-dimensional nature of microarray data, identification of significant genes has been ...
Suyeon Kang, Jongwoo Song
doaj   +1 more source

A Discrete Wavelet Based Feature Extraction and Hybrid Classification Technique for Microarray Data Analysis [PDF]

The Scientific World Journal, 2014
Cancer classification by doctors and radiologists was based on morphological and clinical features and had limited diagnostic ability in olden days. The recent arrival of DNA microarray technology has led to the concurrent monitoring of thousands of gene expressions in a single chip which stimulates the progress in cancer classification. In this paper,
Jaison Bennet, Chilambuchelvan Arul Ganaprakasam, Kannan Arputharaj   +2 more
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Transformation Based Tri-Level Feature Selection Approach Using Wavelets and Swarm Computing for Prostate Cancer Classification

IEEE Access, 2020
Prostate Cancer is a cancer that occurs in the prostate- a small walnut shaped gland in men. This gland helps in the production of seminal fluid which is used to nourish and transport the sperm.
Sunil Kumar Prabhakar, Seong-Whan Lee
doaj   +1 more source

Analysis of Microarray Data using Artificial Intelligence Based Techniques

, 2016
Microarray is one of the essential technologies used by the biologists to measure genome-wide expression levels of genes in a particular organism under some particular conditions or stimuli. As microarrays technologies have become more prevalent, the challenges of analyzing these data for getting better insight about biological processes have ...
openaire   +3 more sources

A comparison on effects of normalisations in the detection of differentially expressed genes

BMC Bioinformatics, 2009
Background Various normalisation techniques have been developed in the context of microarray analysis to try to correct expression measurements for experimental bias and random fluctuations.
Risso Davide, Massa Maria Sofia, Chiogna Monica, Romualdi Chiara   +3 more
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The OncoFinder algorithm for minimizing the errors introduced by the high-throughput methods of transcriptome analysis

Frontiers in Molecular Biosciences, 2014
The diversity of the installed sequencing and microarray equipment make it increasingly difficult to compare and analyze the gene expression datasets obtained using the different methods.
Anton A. Buzdin, Anton A. Buzdin, Anton A. Buzdin, Alex eZhavoronkov, Alex eZhavoronkov, Alex eZhavoronkov, Mikhail eKorzinkin, Mikhail eKorzinkin, Sergey A Roumiantsev, Alexander M Aliper, Alexander M Aliper, Alexander M Aliper, Larisa S. Venkova, Larisa S. Venkova, Philip eSmirnov, Philip eSmirnov, Nicolay M Borisov, Nicolay M Borisov   +17 more
doaj   +1 more source

MARTin—an open-source platform for microarray analysis

Frontiers in Bioinformatics
Background: Microarray technology has brought significant advancements to high-throughput analysis, particularly in the comprehensive study of biomolecular interactions involving proteins, peptides, and antibodies, as well as in the fields of gene ...
Kai O. Kreissner, Benjamin Faller, Ivan Talucci, Ivan Talucci, Hans M. Maric   +4 more
doaj   +1 more source

High-resolution molecular typing of vancomycin-resistant Enterococcus faecium from Romania and Bavaria: combining enhanced DNA microarray and next generation sequencing

BioTechniques
Antimicrobial resistance poses a significant challenge for infection control, requiring the development of accurate and high-throughput diagnostic techniques.
Ibukun Elizabeth Osadare, Abdinasir Abdilahi, Elke Müller, Mara Lohde, Celia Diezel, Maximilian Collatz, Sascha Braun, Bärbel Kieninger, Anja Eichner, Wulf Schneider-Brachert, Thomas Wellhöfer, Katrin Frankenfeld, Olivia Dorneanu, Stefan Monecke, Ralf Ehricht   +14 more
doaj   +1 more source

Dimensionality reduction and class prediction algorithm with application to microarray Big Data

Journal of Big Data, 2017
The recent technology development in the concern of microarray experiments has provided many new potentialities in terms of simultaneous measurement. But new challenges have arisen from these massive quantities of information qualified as Big Data.
Fadoua Badaoui, Amine Amar, Laila Ait Hassou, Abdelhak Zoglat, Cyrille Guei Okou   +4 more
doaj   +1 more source