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You are viewing titles for IOWA STATE UNIVERSITY in the Biostatistics available through the UMI Dissertations & Thesis Gradwoorks site
 
A novel data mining method to identify differentially expressed gene signatures
Estimation of accelerated failure time models with random effects
 
Integrating QTL analysis into plant breeding practice using Bayesian statistics
Understanding protein motions by computational modeling and statistical approaches
 
Analysis on protein structures using statistical and bioinformatical methods
New statistical potentials for improved protein structure prediction
 
Sequence-specific sequence comparison using pairwise statistical significance
Improving statistical inference for gene expression profiling data by borrowing information
 
Diagnostics for nonlinear models with application to population pharmacokinetic modeling
Statistical methods for identifying differentially expressed genes using hierarchical models
 
Borrowing information across genes and experiments for improved error variance estimation in microarray data analysis and statistical inferences for gene expression heterosis