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 21 for “"Microarray datasets"”.
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An Integrated Bioinformatics Approach for the Identification of Melanoma-Associated Biomarker Genes. A Ranking and Stratification Approach as a New Meta-Analysis Methodology for the Detection of Robust Gene Biomarker Signatures of Cancers.
Genome-wide microarray technology has facilitated the systematic discovery of diagnostic biomarkers of cancers and other pathologies. However, meta-analyses of published arrays using melanoma as a test cancer has uncovered significant inconsistences that hinder advances in clinical practice. In …
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Large scale disease prediction
… First, a subset of publicly available microarray datasets was downloaded from the NCBI Gene Expression Omnibus (GEO) [18, 5]. This data was then automatically tagged with Unified Medical Language System (UMLS) concepts [7]. Using the UMLS tags, datasets related to several phenotypes …
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Streamlining and standardizing transcriptomic analysis in Amgen process development
… of this workflow, a number of historical Amgen microarray datasets were mined to identify gene expression signatures indicative of productivity. The result of this mining identified key biological pathways specific to a highly productive Amgen cell line. This work suggests that these pathways …
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KINETIC ANALYSIS OF AUXIN-INDUCED TRANSCRIPTION FACTOR NETWORKS CONTROLLING LATERAL ROOT DEVELOPMENT IN ARABIDOPSIS THALIANA
… complex transcriptional networks. An 8-timepoint microarray of roots treated with indole-3-acetic acid (IAA), the major form of auxin, was utilized to identify the transcriptome wide kinetics of auxin response. This microarray allowed identification of novel auxin responsive genes beyond those …
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Evolutionary approaches for feature selection in biological data
… data. Mass throughput data generated from microarrays and mass spectrometry from biological samples are high dimensional and is small in sample size. Examples include DNA microarray datasets with up to 500,000 genes and mass spectrometry data with 300,000 m/z values. While the availability …
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The Role of Glucocorticoid Signaling in Prostate Cancer Health Disparities
… tissues, compared to EA tissues, using Oncomine microarray datasets. In addition, a trend towards elevated circulating LEDGF/p75 and CLU was observed in sera of AA patient samples. Taken together, these findings provide an initial framework for understanding the contribution of GR signaling to …
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Molecular Determinants of Residual Disease In Ovarian Cancer
… Using publically available databases and microarray datasets, we identify FABP4 and ADH1B as markers of residual disease since the high expression of these genes in tumor samples is directly associated with the incidence of residual disease. We then investigate the underlying biology of …
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Standardized development of microarray technology via substrate-independent surface coatings
While microarray technology has provided a versatile and high-throughput analytical tool for many research purposes, poor cross-platform assay dataset correlation has prevented the technology from finding common usage for real-world applications due to difficulties regarding the ability to validate …
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Unsupervised Multi-Scale Analysis for the Identification of Placental Subtypes of Human Preeclampsia and Fetal Growth Restriction
… Clustering of three overlapping large microarray datasets revealed 3-5 molecular clusters, depending on the study. However, three subtypes of PE placentas were consistently identified within clusters 1-3, and, eventually, each co-clustered with a group of placentas from normotensive …
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Functional characterisation of novel mast cell genes
The development of microarray technology has provided an unprecedented wealth of data on gene expression in various tissue and cell types. Few studies have, however, taken full advantage of these data by selecting and then extensively characterising the functions of particular genes chosen from …
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ROR1 and Rab27b – novel biomarkers for chemoresistance in ovarian cancer
… These were validated in publicly available microarray datasets and through PCR-based pilot study on ovarian cancer tissue blocks. The aim of this project was to investigate ROR1 and Rab27b as biomarkers for chemoresistance in ovarian cancer. Ovarian cancer cell line panel was assembled …
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Methods for Accurate Analysis of High-Throughput Transcriptome Data
… First, we present a novel method for microarray quality assessment. Since accurate inference is dependent on the quality of the underlying data, quality assessment is a critical component in any microarray data analysis. Our method, which uses an unsupervised classifier to discriminate …
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Feature selection for cancer classification using microarray gene expression data
The rapid development of DNA microarray technology enables researchers to measure the expression levels of thousands of genes simultaneously and allows biologists easily gain insight into the complex interaction in tumours on gene expression levels. Its application in cancer studies has been shown …
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Bioinformatics analysis of liver and adipose tissue microarray data from periparturient dairy cattle and development of a web-based ruminant specific microarray database
… analysis of high-throughput data such as microarray or RNA-sequencing. It is performed to associate gene sets with their relevant biological pathways or functions using statistical methodologies. However, this approach has several limitations including inability to compare time series …
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Detection and Characterization of Multilevel Genomic Patterns
DNA microarray has become a powerful tool in genetics, molecular biology, and biomedical research. DNA microarray can be used for measuring the genotypes, structural changes, and gene expressions of human genomes. Detection and characterization of multilevel, high-throughput microarray genomic data …
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Transcriptomic and proteomic dysregulation in neuropsychiatric disorders
… proteomic methods, leveraging large RNA-Seq and microarray datasets to circumvent issues with power for the proposed analyses. A literature summary on previously identified transcriptomic and proteomic dysregulations in neuropsychiatric disorders, and motivations for the work presented in the …
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Untersuchungen zur Biosynthese der pflanzlichen Zellwand = [Identification and characterization of genes involved in plant cell wall synthesis]
… a second part of this thesis publicly available microarray datasets were analyzed with respect to co-responsive behavior of transcripts on a global basis using nearly 10,000 genes. The data has been made available to the community in form of a database providing additional statistical and …
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Contribution to Statistical Techniques for Identifying Differentially Expressed Genes in Microarray Data
With the development of DNA microarray technology, scientists can now measure the expression levels of thousands of genes (features or genomic biomarkers) simultaneously in one single experiment. Robust and accurate gene selection methods are required to identify differentially expressed genes …
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Data Mining Algorithms for Classification of Complex Biomedical Data
… informatics: (1) Multi-task approaches for microarray classification; (2) Multi-label classification of gene and protein prediction from multi-source biological data; (3) Spatial scan for movement data. In microarray classification, samples belong to several predefined categories (e.g., …
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Novel Monte Carlo Approaches to Identify Aberrant Pathways in Cancer
… have applied GibbsOS to breast cancer cell line datasets and identified condition specific regulatory rewiring in human breast cancer. We also propose a novel method, namely Gibbs sampler to Infer Signal Transduction (GIST), to detect aberrant pathways that are highly associated with biological …
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