Results 21 to 30 of about 27,010,024 (292)

Techniques for clustering gene expression data [PDF]

open access: yes, 2008
Many clustering techniques have been proposed for the analysis of gene expression data obtained from microarray experiments. However, choice of suitable method(s) for a given experimental dataset is not straightforward. Common approaches do not translate
Kerr, Gráinne   +7 more
core   +2 more sources

Comparison of microarray and SAGE techniques in gene expression analysis of human glioblastoma [PDF]

open access: yesCytology 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.   +9 more
openaire   +4 more sources

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

open access: yes, 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   +5 more sources

Improved processing of microarray data using image reconstruction techniques [PDF]

open access: yes, 2003
Spotted cDNA microarray data analysis suffers from various problems such as noise from a variety of sources, missing data, inconsistency, and, of course, the presence of outliers.
O'Neill, P.   +2 more
core   +1 more source

Microarray analysis and barcoded pyrosequencing provide consistent microbial profiles depending on the source of human intestinal samples [PDF]

open access: yes, 2011
Large-scale and in-depth characterization of the intestinal microbiota necessitates application of high-throughput 16S rRNA gene-based technologies, such as barcoded pyrosequencing and phylogenetic microarray analysis.
Vos, W.M., de   +7 more
core   +1 more source

Surface free energy and microarray deposition technology [PDF]

open access: yes, 2007
Microarray techniques use a combinatorial approach to assess complex biochemical interactions. The fundamental goal is simultaneous, large-scale experimentation analogous to the automation achieved in the semiconductor industry.
Glen Mchale, McHale, Glen, McHale, G
core   +1 more source

The clinical, cytogenetics and molecular characterization of inverted duplication/deletion of chromosome 8p in a boy with mental and motor retardation: Genotype-phenotype correlation in a case report

open access: yesEgyptian Journal of Medical Human Genetics, 2018
Background: Rearrangements that occur mainly through the non-allelic homologous recombination (NAHR) during maternal meiosis in short arms of chromosome 8 is relatively associated with various clinical spectrum.
Fatma Silan   +6 more
doaj   +1 more source

Computational Intelligence Techniques for Classification in Microarray Analysis [PDF]

open access: yes, 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.   +3 more
openaire   +2 more sources

Multi-membership gene regulation in pathway based microarray analysis [PDF]

open access: yes, 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   +8 more
core   +1 more source

Gene expression levels assessed by oligonucleotide microarray analysis and quantitative real-time RT-PCR – how well do they correlate?

open access: yesBMC Genomics, 2005
Background The use of microarray technology to assess gene expression levels is now widespread in biology. The validation of microarray results using independent mRNA quantitation techniques remains a desirable element of any microarray experiment.
Boag Joanne M   +9 more
doaj   +1 more source

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