Gene Expression Analysis Using cDNA Microarrays Of
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 ...
6
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 ...the cDNA micro- array technique offers the opportunity to ...
12
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 ...
123
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 ...
10
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 ...
303
Zebrafish cardiovascular cDNA microarrays : expression profiling and gene discovery in embryos exposed to 2,3,7,8-Tetrachlorodibenzo-ρ-dioxin
... Figure 3.3 Lack of effect of cDNA quantity on microaray gene expression results, as determned by comparison of gene-specific mean expression ratios determined from three high-dose hybrid[r] ...
288
Incorporation of gene-specific variability improves expression analysis using high-density DNA microarrays
... the gene population in the U95A set in which there was an agreement (26 sets) or disagreement (26 sets) between Affymetrix Fold Change and T-score results across different ...the expression change of these ...
8
Measuring gene expression (Microarrays) Ulf Leser
... Comparison cDNA-Microarray ..."DNA microarrays for comparison of gene expression profiles between diagnosis and relapse in precursor-B acute lymphoblastic leukemia: choice of technique and ...
37
Expression of Respiratory Syncytial Virus-Induced Chemokine Gene Networks in Lower Airway Epithelial Cells Revealed by cDNA Microarrays
... chemokine expression in RSV-infected type II (A549) and bronchiolar (SAE) cells by high-density ...global gene expression changes in genetic networks activated by signal-transducing molecules (17), ...
15
Analysis of baseline and cisplatin-inducible gene expression in Fanconi anemia cells using oligonucleotide-based microarrays
... in gene expression might remain ...trace using these types of experiments, particularly when our knowledge of components involved in the various functional pathways is ...Third, expression of ...
9
Analysis of Genetic Expression with Microarrays using GPU Implemented Algorithms
... Fig. 1 shows the most commonly used experimental design for microarrays. The first step in the process is to extract genetic material from tissues from two different biological conditions, such as an abnormal ...
8
Expressogram: a visualization of cytogenetic landscape in cancer samples using gene expression microarrays
... with gene expressions are not well ...and gene expressions using expression ...the gene expression signals detected by microar- ray probesets onto a reference human genome, the ...
7
mRNA Expression in Rabbit Experimental Aneurysms: A Study Using Gene Chip Microarrays
... a gene chip that con- tained every gene of known significance to intracranial aneu- rysm ...specific gene was not in the data base, there was usually a closely related gene that we could ...
6
Expressogram: A Visualization of Cytogenetic Landscape in Cancer Samples Using Gene Expression Microarrays
... with gene expressions are not well ...and gene expressions using expression ...the gene expression signals detected by microar- ray probesets onto a reference human genome, the ...
6
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 ...
15
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 microarray ...
14
Whole-transciptome analysis of [psi+] budding yeast via cDNA microarrays
... genomic expression of [PSI+] prion and wild type Saccharomyces cerevisiae was surveyed over a series of biological repetitions with the overall goal of elucidating potential genomic pressures as a result of the ...
193
Application of four dyes in gene expression analyses by microarrays
... A cDNA microarray was scanned at the initial settings (mentioned above), and with a laser power of 70% or 100% and with adjusted PMT gain until none of the spots gave saturated ...these cDNA micro- arrays ...
13
Unsupervised Bayesian linear unmixing of gene expression microarrays
... Due to the constraints enforced on the data, the poste- rior distribution f (M, A, R|Y) obtained from the proposed hierarchical structure is too complex to derive analytical expressions of the Bayesian estimators, e.g., ...
20
Seq-ing improved gene expression estimates from microarrays using machine learning
... ing gene or transcript expression levels from microar- ray probe level fluorescence intensities, which addresses many of the limitations discussed ...the gene and the expression level of the ...
11