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 484 for “"expression analysis"”.
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Automatic facial expression analysis
… emotionally expressive behaviour. We use facial expressions to display our emotional states and to manage our interactions. Furthermore, we express and read emotions in faces effortlessly. However, automatic understanding of facial expressions is a very difficult task computationally, especially …
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Gene expression analysis in breast cancer
… in breast cancer. An in-house breast cancer gene expression dataset comprising 17 normal and 104 tumour samples was analysed to identify important genes and pathways relevant to various clinical parameters. Our results identified groups of patients with similar expression profiles, the possible …
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Expression Analysis and Stem Cell Engineering
The overall goal of the thesis was to develop tools to advance Investigations of stem cells in tissue engineering therapeutics for neurodegenerative disease and spinal cord injury. Two tools to characterize cell fate and a tool to separate a subset of neural cells were developed and evaluated. In …
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Expression analysis of Drosophila melanogaster microRNAs
… wurde das zeitlich und räumlich aufgelöste Expressionsmuster der Drosophila melanogaster miRNAs mittels Northern blot Analyse unterschiedlicher Entwicklungsstadien der Fliege untersucht. Zeitabhängige Expressionsmuster von miRNAs können zur Verifizierung vorhergesagter miRNA targets und …
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Spatially mapped gene expression analysis from tissue
"Spatial gene expression analysis platforms have been widely used for a variety of applications ranging from pathogen detection to the analysis of spatial variation of an mRNA in a tissue section. Traditionally, this is accomplished by using in situ polymerase chain reaction (in situ PCR) or in …
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Convex matrix factorization for gene expression analysis
A method is proposed for gene expression analysis relying upon convex matrix factorization (CMF). In CMF, one of the matrix factors has a convexity constraint, that is, each row is nonnegative and sums to one, and hence can be interpreted as a probability distribution. This is motivated …
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Personalized machine learning for facial expression analysis
… of deep convolutional networks for facial expression analysis. While prior work focused on population-based ("one-size-fits-all") models for prediction of affective states (valence/arousal), I constructed personalized versions of these models to improve upon state-of-the-art general models …
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Quantitative Approaches for Protein Differential Expression Analysis
… developed to facilitate differential protein expression analysis and biomarker discovery via a two-step sample interrogation strategy: (a) global protein profiling and differential expression analysis by spectral counting; and, (b) biomarker candidate validation by targeted screening, i.e., …
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Gene expression analysis of head and neck cancer development
Microarray analysis was performed on 32 head and neck keratinocytes cultures using Affymetrix U133A/B genechips. The panel of cultures included normal cells, mortal and immortal cultures of dysplastic keratinocytes and mortal and immortal cultures from carcinomas, all grown to a standard protocol. …
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Genetic and gene expression analysis of nasopharyngeal carcinoma (NPC)
… copy number changes and differential RNA expression profiles in Nasopharyngeal carcinoma (NPC). Gene expression profiles identified a large number of differentially regulated genes involved in diverse functional processes, while genetic analysis detected extensive genomic abnormalities …
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Data mining techniques for large-scale gene expression analysis
… and little expense, to evaluate the coordinated expression levels of tens of thousands of genes, evaluate hundreds of thousands of single-nucleotide polymorphisms, and sequence individual genomes. The data produced by these assays has provided the research and commercial communities with the …
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Extensible neural network software : applications in gene expression analysis
… increasingly utilized in the life sciences for analysis of large data sets. High-throughput technologies, such as gene expression microarrays, have challenged traditional statistical learning algorithms given their high dimensionality. This thesis describes GAINN, a neural network software …
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Immunoteratological Studies of Diabetic Embryopathy Using Gene Expression Analysis
… a shared profile of placental or splenic gene expression changes may correlate to the reduced birth defect outcome induced by the different immune stimulation procedures. Diabetes did not cause significant changes in placenta or spleen gene expression profile. In placenta, CFA and GM-CSF …
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Chemosensory gene expression analysis in the argentine ant, linepithema humile
This experiment was conducted to determine expression patterns of a subset of chemosensory genes, including odorant receptors (Ors) and odorant binding proteins (OBPs), in the invasive Argentine ant, Linepithema humile. Fragments of two Ors were identified from a whole ant EST project, which …
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Genome wide expression analysis and metabolic mechanisms predicting body weight maintenance
… of weight reduction on adipose tissue gene expression was observed. Gene expression alterations over weight reduction included several cellular metabolic genes involved in lipid and glucose metabolism as well as insulin signalling and regulatory pathways. These changes were also associated …
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Comparison of different differential expression analysis tools for rna-seq data
… time. One of the most important tasks of RNA-seq analysis is finding genes that are expressed differently in different subject groups. A lot of differential expression analysis tools for RNA-seq have been developed, but there is no golden standard in this field. In this research, four commonly …
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Highly Constrained Kinetic Models for Quantitative Single-Cell Gene Expression Analysis
… part genetically identical, and it is the gene expression which determines different cell types in the body. Transcription, the first step in gene expression, is a complex, multi-step process initiated by transcription factors (TFs) binding to DNA promoter regions, followed by recruitment of …
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Expression, analysis and understanding : three essays in the philosophy of language
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Linguistics and Philosophy, 1994.
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Evaluating Consumer Emotional Response to Beverage Sweeteners through Facial Expression Analysis
… questionnaire (explicit), and automated facial expression analysis (AFEA) (implicit). Facial expression responses and emotion term categorization based on selection frequencies were able to adequately discern differences in emotional response as it related to hedonic liking between sweetener …
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Differential gene expression analysis of metolachlor treated human liver cells by microarray
1 PDF file (viii, 159 pages)
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