Multiple normalization methods have been proposed for the analysis of microRNA microarray expression profiles but there is no consensus method. One of the more robust methods, quantile normalization, is commonly used in transcript (mRNA) studies...
RNA--Analysis; Probability measures; Genetics--Research--Methodology
The present experimental designs have unique challenges in the analysis of microRNA
expression intensity levels. In this project, various Normalization techniques were
discussed with different statistical techniques and their application in an...
Recently our lab has shown that with broadband stimuli (either visual noise or natural scenes), performance for detecting oriented content is worst at horizontal, best at the obliques, and intermediate at vertical orientations--an anisotropy...
This study defines a new approach for building a Web Services based infrastructure for distributed data mining applications. The proposed architecture provides a roadmap for "autonomic" functionality of the infrastructure hiding the...
Recent advances in high throughput methodologies offer researchers the ability to understand complex systems via high dimensional and multi-relational data. One example is the realm of molecular biology where disparate data (such as gene sequence,...
MicroRNAs (miRNAs) regulate gene expression at the post-transcriptional level by repressing translation or stimulating mRNA degradation. In this study, I tested the hypothesis that miRNAs are differentially expressed in antiestrogen-sensitive MCF-7...
The thesis project, Gene Database, was done to create a way for the bioinformatics research group at the University of Louisville to have access to GenBank EST information in the form of a database. This database allows for a programmable front end...
Brief Overview of the Problem: The Environmental Protection Agency (EPA), a government funded agency, provides both legislative and judicial powers for emissions monitoring in the United States. The agency crafts laws based on self-made regulations...
To manage large image databases, Content-Based Image Retrieval (CBIR) emerged as a new research subject. CBIR involves the development of automated methods to use visual features in searching and retrieving. Unfortunately, the performance of most...
Current high-throughput gene expression experiments have a straightforward design of examining
the gene expression of one group or condition relative to that of another. The data is typically
analyzed as if they represent strictly intracellular...
In this dissertation, we study the performance evaluation of two automated warehouse material handling (MH) technologies - automated storage/retrieval system (AS/RS) and autonomous vehicle storage/retrieval system (AVS/RS). AS/RS is a traditional...
For complex classification systems, data is usually gathered from multiple sources of information that have varying degree of reliability. In fact, assuming that the different sources have the same relevance in describing all the data might lead to...
Liver--Diseases--Genetic aspects; Liver--Effect of arsenic on; Arsenic--Toxicology
Arsenic exposure in drinking-water is a significant worldwide health problem. It causes adverse human health effects, such as cancer, increases the risks for others such as cardiovascular disease, and accelerates atherosclerosis. In this study, we...
From a computerized image analysis prospective, early diagnosis of lung cancer involves detection of doubtful nodules and classification into different pathologies. The detection stage involves a detection approach, usually by template matching,...
Arsenic--Physiological effect; Cardiovascular system--Diseases; Liver--Effect of arsenic on; Arsenic--Toxicology
Chronic arsenic exposure is associated with increased cardiovascular disease (CVD). Prenatal arsenic exposure at 49 ppm arsenic accelerates atherosclerosis underlying CVD in ApoE-/- mice, but the mechanism is unknown. This dissertation examines the...
Representing the complex data in a concise and accurate way is a special stage in data mining methodology. Redundant and noisy data affects generalization power of any classification algorithm, undermines the results of any clustering algorithm and...
Determining the mechanical properties of the spine is a significant step in understanding the behavior of the spine under normal conditions. Although a limited amount of data for cyclic loading is currently available, the tests are not completely...
The area of Knowledge discovery and data mining is growing rapidly. Feature Discretization is a crucial issue in Knowledge Discovery in Databases (KDD), or Data Mining because most data sets used in real world applications have features with...
Mishaps in prenatal development can influence mammary gland development
and, ultimately, affect susceptibility to factors that cause breast cancer. This research was
based on the underlying hypothesis that maternal dietary composition during...
Funeral rites and ceremonies--United States; Undertakers and undertaking--Social aspects
Within a cultural context of postmodernism and individualization, funerals in America have taken on a new appearance amidst increased freedom of expression and diminished adherence to tradition. This thesis examines how the funeral industry has...
