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About 10,000 papers for “DNA microarray”

DNA Microarray

Marc D. Binder, Nobutaka Hirokawa, Uwe Windhorst · 2008

Cited by 0

DNA Microarray

Xiaoling Zhang, Yanzhi Du · WORLD SCIENTIFIC eBooks · 2008

Cited by 0

DNA microarray.

Lon V. Kendall, Meghan N Myles, L K Riley · PubMed · 2001

Cited by 1

DNA Microarray

ATE Central (National Science Foundation) · 2012

This animated YouTube video, created by Southwest Center for Microsystems Education (SCME), illustrates how DNA microarrays work in the context of nanofabrication. The animation and associated narration describe "how a DNA microarray identifies complementary DNA (cDNA) strands from a sample. On the substrate of the array are synthetic ssDNA stands or oligonucleotides (oligos). Each grid in the microarray contains hundreds to thousands of oligos with a unique DNA sequence. These oligos hybridize with cDNA from one of two samples. There are thousands of grids on the array allowing for the simultaneous identification of thousands of different DNA sequences. Each sample cDNA is "tagged" with the red or green tag as shown in the animation. The "tags" enable an interpretation of the DNA hybridizations." A supporting learning module and activities can be downloaded from the SCME website.

Cited by 0

DNA microarray data

Qifeng Zhou, Wencai Hong, Linkai Luo et al. · 2015

Selection of relevant genes for sample classification is a common task in most gene expression studies. As a powerful classification approach, random forest has been applied in this field, and it shows excellent performance compared with other classification methods. The measure of variable importance is the key of gene selection using random forest. However, the existing methods just consider the original variable importance measure based on the OOB error. In this paper, we proposed a new variable importance measure based on the difference of proximity matrix, and used it for gene selection on DNA microarray data. Compared with the existing variable importance analysis of random forest, the new method is more sensitive to information gene and yields small sets of genes while preserving predictive accuracy.

Cited by 0

DNA Microarray Analysis

National Cancer Institute · Definitions · 2020

T his term describes an experiment in which probes representing genes that one wants to study are affixed to a substrate (e.g., a glass slide) and then exposed to target molecules (sometimes referred to as the sample).T he level of hybridization between a specific probe and a target (typically indicated through fluorescence and measured through image analysis) indicates the level of the gene corresponding to that probe in a test solution.

Cited by 0Open access

DNA microarray analysis.

Takashi Sawada (237189), Hideaki Miyoshi (237195), Kohei Shimada (237200) et al. · Figshare · 2015

<p>Metabolic pathways altered in WAT of Tg mice: cell differentiation, lipid synthesis, fatty acid oxidation, and thermogenesis. Fold changes in transcript levels are noted beneath the gene symbols. <i>Atp5g1</i>: ATP synthase, H+ transporting, F1 gamma 1, <i>Bmp</i>: bone morphogenic protein, <i>Cac</i>: carnitine/acylcarnitine translocase, <i>Cox</i>: cytochrome c oxidase, <i>Cpt</i>: carnitine palmitoyl transferase, <i>Dgat</i>: diacylglycerol acyltransferase, <i>Kat</i>: 3-ketoacyl-CoA thiolase, <i>Pgc1a</i>: peroxisome proliferator activated receptor gamma coactivator-1 alpha, <i>Prdm16</i>: PRD1-BF1-RIZ1 homologous domain containing 16, <i>Scd</i>: stearoyl-CoA desaturase.</p>

Cited by 0Open access

DNA Microarray Fabrication

ATE Central (National Science Foundation) · 2014

In this YouTube video, created by Southwest Center for Microsystems Education (SCME), viewers are introduced to the concept of DNA microarray fabrication. Specific topics include: non-contact printing process, photolithography process and maskless photolithography process. This is the third in a series of presentations on DNA microarrays. Supporting materials can be downloaded from the SCME website.

Cited by 0

DNA microarray analysis.

Noritoshi Fukushima (190254), Katsuhisa Matsuura (111393), Hiroshi Akazawa (190259) et al. · Figshare · 2015

<p>Each number indicates the fold-increase of gene expression in Gr-1(+) cells isolated from wild-type mice compared with those from EGFRdn mice.</p>

Cited by 0Open access

DNA Microarray Chip

National Cancer Institute · Definitions · 2020

Ope n Pe e r Re v ie w on Qe ios

Cited by 0Open access

DNA Microarray Technology

Margaret Werner‐Washburne, G. Davidson · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2002

Collaboration between Sandia National Laboratories and the University of New Mexico Biology Department resulted in the capability to train students in microarray techniques and the interpretation of data from microarray experiments. These studies provide for a better understanding of the role of stationary phase and the gene regulation involved in exit from stationary phase, which may eventually have important clinical implications. Importantly, this research trained numerous students and is the basis for three new Ph.D. projects.

Cited by 1Open access

DNA microarray hybridisation experiments.

Marc Kochzius (242381), Christian Seidel (242385), Aglaia Antoniou (242389) et al. · Figshare · 2015

<p>Mean signal intensities of single target hybridisations to 64 oligonucleotide probes on a DNA microarray for the identification of 30 fish species from European seas. For numbers given to oligonucleotide probes refer to <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012620#pone-0012620-t003" target="_blank">Table 3</a> and Supporting Information <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0012620#pone.0012620.s002" target="_blank">Table S2</a>.</p>

Cited by 0Open access

DNA Microarray Learning Module

ATE Central (National Science Foundation) · 2014

The Southwest Center for Microsystems Education (SCME) is a Support Center funded in part by the National Science Foundation Advanced Technological Education program. This learning module introduces users to DNA microarrays, including how they are used in biomedical applications as well as how they are fabricated and interpreted. The unit also allows students the opportunity to discuss the ethics of such devices. A comprehensive PowerPoint presentation is included along with instructor and participant guides and a Zip file with DNA microarray animations. Visitors are encouraged to create an account and log in in order to access the full set of resources.

Cited by 0

Fabrication of DNA Microarray

Martin Dufva · Methods in molecular biology · 2008

There are many ways to fabricate DNA microarrays. The four main types of arrays are spotted arrays of pre-made DNA probes, in situ synthesis of DNA arrays, random bead arrays and suspension arrays. The different types of array can address different biological assays. Spotted arrays are suitable for application using small to medium number of probes, e.g. focused genotyping, bacterial diagnostics and gene expression analysis. In situ synthesized arrays and random bead arrays are suitable for applications where medium to large number of probes are needed such as genome wide screens for single nucleotide polymorphisms. Suspension arrays are suitable for applications requiring small number of probes. The chapter will include details of fabrication methods and a comparison of the strengths, weaknesses and future use of each method.

Cited by 13

DNA Microarray Stochastic Model

S.W. Davies, Darryl A. Seale · IEEE Transactions on NanoBioscience · 2005

A stochastic model of the DNA microarray image pixels is presented. The model includes spot pixel intensity distribution, interpixel correlations and the intensity distribution of background noise. The data is indicative of a small exponential additive noise process and a larger Gaussian fluctuation that scales with spot intensity. Correlations are observed among pixels in the spot and between test and control images. The correlated fluctuations may be attributed to variations across each spot in the amount of DNA placed on the spot during the array fabrication process. The model may be used in gene expression estimation algorithm development, both to test new algorithms through simulation and to develop optimum algorithms. The model should also be easily adapted to new array based technologies in proteomics.

Cited by 10