Analysis of gene expression changes using microarrays
Incorporation of gene-specific variability improves expression analysis using high-density DNA microarrays
... novel analysis of an extraordinarily large data ...downstream analysis demonstrated the superiority of our methodology over an arbitrary cut-off approach, our results are limited by the fact that a fraction ...
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Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms
... DNA microarrays are used to simultaneously analyze the expression level of thousands of genes under multiple conditions; however, massive amount of data is generated making its analysis a challenge ...
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Glycoprotein analysis using protein microarrays and mass spectrometry
... glycosylation analysis with protein microarrays has proven to be a high throughput and successful technique that not only provides a high level of information about glycoprotein abundance changes but ...
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Probe Design and Data Analysis for Gene Expression Microarrays
... When local smoothing method is applied during normalization to adjust the dependence of log ratios on average signal intensity values, we have looked at how different choices of smooth- ing parameters can influence the ...
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Validating nutrient-related gene expression changes from microarrays using RT2 PCR-arrays
... applied analysis methods and cut-off values ...verified using a more sensitive detection technique, such as quantitative real-time PCR (qPCR or ...measured changes in gene expression ...
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Multicriteria Gene Screening for Analysis of Differential Expression with DNA Microarrays
... Keywords and phrases: bioinformatics, gene filtering, gene profiling multiple comparisons, familywise error rates. 1. INTRODUCTION Since Watson and Crick discovered DNA more than fifty years ago, the field ...
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Global regulators of gene expression in Mycobacterium tuberculosis: Functional analysis using DNA microarrays
... of gene expression in Mycobacterium tuberculosis The ability of Mycobacterium tuberculosis to adapt to different environments within an infected host is essential for its pathogenicity, and is dependent on ...
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Analysis by cdna microarrays of gene expression patterns of human adrenocortical tumors
... (IGF)2 gene and abrogation of expression of the CDKN1C and H19 genes (12, ...detailed analysis of the genes involved is highly ...comparative analysis of gene-expression ...
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Analysis of baseline and cisplatin-inducible gene expression in Fanconi anemia cells using oligonucleotide-based microarrays
... significant changes at the transcriptional level are present in FA ...subtle changes in gene expression might remain ...trace using these types of experiments, particularly when our ...
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Putative psychosis genes in the prefrontal cortex: combined analysis of gene expression microarrays
... cross-study analysis, we were able to detect small but "consensus" changes in gene expression across multiple microarray ...ing gene expression analyses across multiple ...
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Quantitative analysis of gene expression changes in response to genotoxic compounds
... Acknowledgments This study was supported by funding from the Welsh Government under the CIRP A4B scheme [A4B2122TF]. In addition, PK was a co-inventor of a patent 'Genetic Biosensors using Chemiluminescence' ...
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Integrated analysis of gene expression changes associated with coronary artery disease
... were using TRIzol reagent ...triplicate using the LightCycler R 96 and FastStart Essential DNA Green Master (Roche Diagnostics GmbH, ...the expression of GAPDH as a ...
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Observation of intermittency in gene expression on cDNA microarrays
... in gene expression focused on the clus- tering of LERs independent of their absolute expression ...fold-change analysis, which focuses on large negative and positive LERs, or other ...
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Complete gene expression profiling of Saccharopolyspora erythraea using GeneChip DNA microarrays
... correlate gene expression pro- files during growth to genome location of the ...integrate gene expression data and the physical position of genes in the genome (see Methods, Data ...
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Application of four dyes in gene expression analyses by microarrays
... the gene expression differ- ...DNA microarrays with the application of four dyes simultaneously, can be used as an ...on gene expression is observed and it can be summarized that all ...
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Unsupervised Bayesian linear unmixing of gene expression microarrays
... first using an endmember extraction algorithm (EEA) followed by a constrained linear least squares step to estimate ...R using a birth-death model and a Gibbs ...factor analysis model for simulated ...
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Seq-ing improved gene expression estimates from microarrays using machine learning
... the analysis of these data, which will allow the estimated gene and tran- script expression levels to become more comparable with expression estimates from ...RNA-Seq expression ...
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Exploiting microarrays to reveal differential gene expression in the nervous system
... use microarrays to view changes in expression induced by null mutations or gene knockouts is also of ...A gene-expression study of the pons and cerebellum has used such a ...
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A graph-based representation of Gene Expression profiles in DNA microarrays
... the analysis of gene expression data in microarrays ...meaningful expression relationships between spots. Gene Expression Graphs have many advantages over other known ...
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Identification of Differentially Expressed Genes in HPV AssociatedCancers Using Gene Expression, Tissue,and MicroRNA Microarrays
... scanned using GenePix 4000B Scanner and the median fluorescent intensity was obtained after subtracting the background using the GenePix Pro ...miRNA expression between samples, the median ...
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