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You are viewing titles for THE UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL in the Bioinformatics available through the UMI Dissertations & Thesis Gradwoorks site
 
Genome-level analysis of genetic regulation of liver gene expression networks
Spatial motif discovery in Papain-like cysteine protease family
 
Protein function prediction using family-specific structural motifs
Graph-based pattern discovery in protein structures
 
Resampling-based tests of functional categories in gene expression studies
Capturing atomic interactions with a graphical framework in computational protein design
 
Forest response to natural disturbance: Changes in structure and diversity on a North Carolina Piedmont forest in response to catastrophic wind events
Contextual analysis of variation and quality in human-curated gene ontology annotations
 
Bayesian model-based methods for the analysis of DNA microarrays with survival, genetic, and sequence data
Development and application of ligand-based and structure-based computational drug discovery tools based on frequent subgraph mining of chemical structures
 
Fast Bayesian methods for genetic mapping applicable for high-throughput datasets
Computational and molecular biology approaches to viral replication and pathogenesis
 
Exploring RNA and protein 3D structures by geometric algorithms
Computational modeling and automation techniques to study biomolecular dynamics
 
The analysis and advanced extensions of canonical correlation analysis
Filamin: A family of mechanosensory scaffold proteins
 
Efficient algorithms in analyzing genomic data
Systems approach to microbial pathogenesis: Complex patterns emerge from simple interactions
 
Genome-wide analysis of transcriptional regulation in the murine liver
Principal component analysis in high dimensional data: Application for genomewide association studies
 
Detection of low rank signals in noise and fast correlation mining with applications to large biological data
Molecular stratification and characterization of clear cell renal cell carcinoma
 
Clinical implementation of breast cancer genomics
High level integration of genomic data for improving prediction, prognostication and classification of breast tumors
 
Development and Extension of Cheminformatics Techniques for Integration of Diverse Data to Enhance Drug Discovery
PIE - The Protein Inference Engine
 
Weighted Graph Matching Approaches to Structure Comparison and Alignment and their Application to Biological Problems
Chromatin profiles of human cells in health and disease using FAIRE
 
Development and application of cheminformatics approaches to facilitate drug discovery and environmental toxicity assessment
Prediction of host-virus interaction networks
 
Characterization of the breast cancer kinome
Systematic approaches to integrate inconsistent, noisy high-throughput data to bolster subtle relationships obscured by standard analyses