Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 48 for “"Microarray experiments"”.
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Incorporation of Physico-Chemical Parameters Into Design of Microarray Experiments
Microarrays containing long oligonucleotides provide sensitive and specific detection of gene expression and are becoming a popular experimental platform. In the process of designing an oligonucleotide microarray for Brucella, we optimized the overall design of the array and created probes to …
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Optimal Design of Single Factor cDNA Microarray experiments and Mixed Models for Gene Expression Data
Microarray experiments are used to perform gene expression profiling on a large scale. E- and A-optimality of mixed designs was established for experiments with up to 26 different varieties and with the restriction that the number of arrays available is equal to the number of varieties. Because the …
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A combinatorial approach to scientific exploration of gene expression data: An integrative method using Formal Concept Analysis for the comparative analysis of microarray data
… of high-throughput and large-scale tools such as microarrays which are capable of measuring the mRNA levels of all genes in a genome. Tools and methods for the integration, visualization, and modeling of the large-scale data obtained in typical systems biology experiments are indispensable. Our …
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Probe Level Analysis of Affymetrix Microarray Data
… as RobustMulti-chip Average (RMA), dChip and Microarray Suite version 5.0 (MAS5)), which are thenfollowed by application of statistical tests to determine which genes are differentially expressed. An alternative approach is a probe-level analysis, which tests for differential expression …
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High-dimensional classification and attribute-based forecasting
… on high-dimensional classification problems in microarray experiments. The second part deals with forecasting problems with a large number of categories in predictors. Classification problems in microarray experiments refer to discriminating subjects with different biologic phenotypes or known …
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Development of Informative Priors in Microarray Studies
Microarrays measure the abundance of DNA transcripts for thousands of gene sequences, simultaneously facilitating genomic comparisons across tissue types or disease status. These experiments are used to understand fundamental aspects of growth and development and to explore the underlying genetic …
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Comparative analysis of parametric, nonparametric and permutation methods for differential expression
DNA microarrays permit us to study the expression of thousands of genes simultaneously. They are now used in many different contexts to compare mRNA levels between two or more samples of cells. Microarray experiments typically give us expression measurements on a large number of genes. Increasing …
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Modular architecture in biological networks
… the data coming from genome sequencing, microarray experiments, and other high-throughput measurements, will be the ability to find large-scale structure in biological systems. Ideally, this would lead to a simplified representation, wherein the thousands of genes in an organism can be …
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Analyzing the dependence structure of microarray data: a copula–based approach
… of copula functions with particular emphasis on microarray data. Copula functions are a popular multivariate modeling tool in each field where the multivariate dependence is of great interest and their use in clustering has not been still investigated. The first part of this work contains the …
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Statistical methods for gene set based significance analysis.
… other genes across different treatments within a microarray study. Most of the existing approaches have largely relied on nonparametric methods and require repeated computation of permutation and resampling data to assess the significance of a gene set. In this dissertation, we study parametric …
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Evalutating Biological Data Using Rank Correlation Methods
… Sequencing (MPSS) transcript abundance levels to microarray signal intensities for Arabidopsis thaliana are compared. Rank correlations can be applied to subsets as well as the entire set. Results of subset comparisons can be used to improve the capabilities of predictive models, such as Predicted …
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Cavβ1a in the Nucleus of Muscle Progenitor Cells: Mechanisms, Functions, and Implications
… may regulate gene expression, we conducted microarray experiments on RNA extracted from wild type, heterozygous, and CaVbeta1 -null mouse primary myoblasts. A large number of gene transcripts were found to be differentially regulated based on the relative amount of CaVbeta1a expression. To …
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Unsupervised gene regulatory network inference on microarray data
… expression data, which are usually obtained from microarray experiments. A gene network is a method to depict the relation among clusters of genes. To infer gene networks, the unsupervised method is used in this study. The two types of data used are time-series data and steady-state data. The data …
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p53 nuclear localization control, and p53-dependent regulation of DNA repair gene transcripts
The experiments presented in this thesis use mutation analysis, and study of the cells of mice with a deletion allele for the Trp53 gene, to explore both the regulation of p53, and its downstream functions mediated by specific activation of target genes. Chapter 2 addresses the regulation of …
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Automatisches Segmentieren von Mikroarraybildern
Gene expression experiments using microarray hybridisation have become a widespread method in scientific as well as industrial research. Analysis of microarray images is a bottleneck of array data analysis pipelines, as it is usually performed using interactive computer programs. Apart from …
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On information organization and information extraction for the study of gene expressions by tissue microarray technique
… profiles characterizing specific disease states. Microarrays allow the tracking and the translation of genome sequences into gene functions, leading to the identification of highly informative genes and pathways with a potential impact on understanding disease development and progression. These …
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Immuno-modulatory functions of CD1d-restricted natural killer T cells
… for NKT cell subset in particular, we performed microarray experiments, thus studying the expression of all genes in two distinct NKT cell subsets compared to a control T cell population. We defined a gene expression profile shared by NKT cells, as well as gene profiles that were unique to the …
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Robust methods for analyzing multivariate responses with application to time-course data
… Our research is motivated by time-course microarray experiments to better understand the transcription regulatory network by studying the relationship between gene expressions and transcription factors. The gene expressions are taken as multivariate responses in such studies. The …
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Beyond differential expression : methods and tools for mining the transcriptomic landscape of human tissue and disease
… technologies used to perform biological experiments, DNA microarrays have become a standard tool in the modern biologist's arsenal. Microarray experiments provide measurements of thousands of genes simultaneously, and offer a snapshot view of transcriptomic activity. With the rapid growth …
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Gene expression and signaling in Rxo1 governed innate immunity in cereals
… molecular genetics and reverse genetics. Microarray experiments were carried out to investigate the temporal expression profiles of nonhost and host responses to isogenic strains of Xanthomonas oryzae pv. oryzae (Xoo), the rice bacterial blight pathogen, and Ba with and without the Xoc …
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