Results 91 to 100 of about 188,901 (238)

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

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
doaj   +1 more source

MmPalateMiRNA, an R package compendium illustrating analysis of miRNA microarray data

Source Code for Biology and Medicine, 2013
BackgroundMicroRNAs (miRNAs) constitute the largest family of noncoding RNAs involved in gene silencing and represent critical regulators of cell and tissue differentiation.
G. Brock, P. Mukhopadhyay, Cynthia L. Webb, R. Greene, M. Pisano, Vasyl Pihur, M. Pisano   +6 more
semanticscholar   +1 more source

geneCBR: a translational tool for multiple-microarray analysis and integrative information retrieval for aiding diagnosis in cancer research

BMC Bioinformatics, 2009
BackgroundBioinformatics and medical informatics are two research fields that serve the needs of different but related communities. Both domains share the common goal of providing new algorithms, methods and technological solutions to biomedical research,
D. Glez-Peña, Fernando Díaz, Jesús M. Hernández, J. Corchado, F. F. Riverola   +4 more
semanticscholar   +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

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

Microarray analysis after RNA amplification can detect pronounced differences in gene expression using limma

BMC Genomics, 2006
BackgroundRNA amplification is necessary for profiling gene expression from small tissue samples. Previous studies have shown that the T7 based amplification techniques are reproducible but may distort the true abundance of targets.
I. Diboun, L. Wernisch, C. Orengo, M. Koltzenburg   +3 more
semanticscholar   +1 more source

Detecting intergene correlation changes in microarray analysis: a new approach to gene selection

BMC Bioinformatics, 2009
BackgroundMicroarray technology is commonly used as a simple screening tool with a focus on selecting genes that exhibit extremely large differential expressions between different phenotypes.
Rui Hu, Xing Qiu, G. Glazko, L. Klebanov, A. Yakovlev   +4 more
semanticscholar   +1 more source

A meta-analysis of public microarray data identifies gene regulatory pathways deregulated in peripheral blood mononuclear cells from individuals with Systemic Lupus Erythematosus compared to those without

BMC Medical Genomics, 2016
Background Systemic Lupus Erythematosus (SLE) is a complex, multi-systemic, autoimmune disease for which the underlying aetiological mechanisms are poorly understood. The genetic and molecular processes underlying lupus have been extensively investigated
Wendy Kröger, Darlington Mapiye, Jean-Baka Domelevo Entfellner, Nicki Tiffin   +3 more
doaj   +1 more source

Optimal alpha reduces error rates in gene expression studies: a meta-analysis approach

BMC Bioinformatics, 2017
Background Transcriptomic approaches (microarray and RNA-seq) have been a tremendous advance for molecular science in all disciplines, but they have made interpretation of hypothesis testing more difficult because of the large number of comparisons that ...
J. F. Mudge, C. J. Martyniuk, J. E. Houlahan   +2 more
doaj   +1 more source

Tellipsoid: Exploiting inter-gene correlation for improved detection of differential gene expression [PDF]

, 2008
Motivation: Algorithms for differential analysis of microarray data are vital to modern biomedical research. Their accuracy strongly depends on effective treatment of inter-gene correlation.
Deller, Jr., J. R., Desai, Keyur, McCormick, J. Justin   +2 more
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