TOP >> UNIVERSITY OF LOUISVILLE >> Bioinformatics
 
Browse Institutions
You are viewing titles for UNIVERSITY OF LOUISVILLE in the Bioinformatics available through the UMI Dissertations & Thesis Gradwoorks site
 
Testing the effects of predictors using data generated by non-identity link functions of the single-index model: A Monte Carlo approach
 GPU data-parallel computing of sequence alignment using CUDA
 
Altered developmental programming of the mouse mammary gland in female offspring following perinatal dietary exposures: A systems-biology perspective
 Breast cancer screening model - application to the Canadian study
 
A Bayesian approach to assessing factors with bone loss around endosseous implants
 Integrative computational analysis of micro RNA and mRNA expression profiles in human cancer
 
Assessment and performance of VSN-Inv normalization on the NCI-60 microRNA expression profiles
 Using bioinformatics to predict how protein mutations can affect protein functioning
 
Evaluation of methods for analyzing gene-gene interaction data for survival outcomes
 An adaptive ensemble learner function via bagging and rank aggregation with applications to high dimensional data
 
Image registration and visualization of in situ gene expression images
 Consistency of differentially expressed gene rankings based on subsets of microarray data
 
Development of microarray genomic biomarkers and their application in clinical trials
 Computational analysis of expressed sequence tags for understanding gene regulation
 
The expression and localization of cytoplasmic polyadenylation element binding proteins in the retina
 Statistical inference and classification for mass spectrometry (MS) data
 
DNA-based computing for secure circuitry design
 Data mining and analysis of lung cancer data
 
Adriamycin nephrotoxicity is reduced by metallothionein over-expression and kidney gene expression is modified by diabetes in the OVE26 diabetic model
 Role of Eukaryotic Sel-1 like Repeat Containing Genes in Helicobacter pylori Evolution and Pathogenesis
 
Bayesian nonparametric clustering in relational and high dimensional settings with applications in bioinformatics
 A systems-based approach for detecting molecular interactions across tissues