Breeden, Prentice and Zhao, whose study appeared in the May 8 Proceedings of the National Academy of Sciences, compared their new algorithm to other methods used to
analyze microarray experiments designed to identify cell cycle genes in yeast.
Pollard earned a PhD in biostatistics from the University of California, Berkeley, where she developed statistical methods to
analyze microarray data in cancer biology.
Lead authors of the study, Ivan P. Gorlov, Ph.D., Associate Professor of Community and Family Medicine and Christopher Amos, Ph.D., Professor of Community and Family Medicine and Director of the Center for Genomic Medicine described a new method to
analyze microarray data.
The researchers
analyzed microarray data of samples from German patients and from an IPF cohort of the Lung Tissue Research Consortium in the U.S.
Jason: I was
analyzing some microarray data, and I reached the limit of what I knew how to do, in terms of data analysis.
A: Sheltzer: I was
analyzing some microarray data, and I reached the limit of what I knew how to do in terms of data analysis.
Not exact matches
They work on
microarray - based gene sensors for
analyzing nucleic acids quickly and cheaply.
Microarrays were
analyzed using ranked Z - scores to assess the highest - intensity viral probes [18].
GOMiner — To provide additional statistical stringency to the identification of potential targets, we then
analyzed the data sets generated by the SAM - RS analysis of the
microarray data for hypoxia - associated coregulation of multiple, functionally related genes.
SAM analysis was used to identify statistically significant changes in
microarray data, and the bioinformatics programs GoMiner, Gene Set Enrichment Analysis (GSEA), and HiMAP were used to identify significant ontological categories and
analyze the N - methyl - D - aspartate (NMDA) receptor interactome.
Laurence Rubin, Identitas CEO and a practicing rheumatologist at St. Michael's Hospital in Toronto, says that his company is now shifting gears from demonstrating the utility of SNP - based
microarrays for
analyzing forensic samples to into more of an advocacy role, introducing law enforcement agencies to the power of these genomic technologies.
Microarray Analysis: Anti-Human SMAD4 (clone R516.2.1 D12) specificity was evaluated using CDI HuProt ™ Human Proteome Microarray and subsequently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarr
Microarray Analysis: Anti-Human SMAD4 (clone R516.2.1 D12) specificity was evaluated using CDI HuProt ™ Human Proteome
Microarray and subsequently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarr
Microarray and subsequently
analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of
microarraymicroarray images.
Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome Microarray and subsequently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarr
Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome
Microarray and subsequently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarr
Microarray and subsequently
analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of
microarraymicroarray images.
Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome Microarray (~ 75 % of the human proteome) and subseqently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarr
Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome
Microarray (~ 75 % of the human proteome) and subseqently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarr
Microarray (~ 75 % of the human proteome) and subseqently
analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of
microarraymicroarray images.
This indicates that the antibody is monospecfic for p53 when
analyzed on a denatured
microarray.
Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome Microarray (19,394 human proteins) and subseqently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarr
Microarray Analysis: Test antibody specificity was evaulated using CDI HuProt ™ Human Proteome
Microarray (19,394 human proteins) and subseqently analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of microarr
Microarray (19,394 human proteins) and subseqently
analyzed with GenePix Pro Image Acquisition and Analysis Software, the benchmark tool for the acquisition and analysis of
microarraymicroarray images.
Using a specialized DNA array containing thousands of Arabidopsis genes (an EST
microarray), the researchers then
analyzed gene expression in their mutant and quickly found that MPK4 somehow controls the expression of anti-microbial genes of the SAR response.
Using the HuProt
microarray array, the binding of fluorescently labeled or biotinylated sample proteins to proteins on the HuProt human proteome
microarray — the largest collection of human proteins in the world — can be
analyzed simultaneously.
The reduction of Kap1 by IVC agrees with previous results of
microarrays, wherein using a list of murine IAP elements, it was observed that several of the probes
analyzed were intensely up - regulated in IVC [7].
The 21 RNA samples were first
analyzed using the ViroChip
microarray.
Samples were
analyzed using the ViroChip, a pan-viral DNA detection
microarray (x-axis).
More than 60 % of the genes
analyzed by the
microarray have inversely correlated promoter DNA methylation and expression levels (defined as gene promoters with methylation above 50 % and expression below the 50 - percentile of expression levels, and vice versa).
B. Correlation of the fold differences between CPA and control obtained by Q - MeDIP and by
microarray for the 20 amplicons
analyzed in A. C. DNA methylation differences (%) between the groups in the GRM5, ITGB6, OR13C8 and IL - 31 genes validated by pyrosequencing.