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STANFORD UNIVERSITY
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You are viewing titles for STANFORD UNIVERSITY in the Bioinformatics available through the UMI Dissertations & Thesis Gradwoorks site
Boolean analysis of high-throughput biological datasets
Hybrid modeling and robustness analysis of cell cycle regulation
Algorithms for next-generation sequencing
Machine learning approaches to understanding the genetic basis of complex traits
Identifying relationships between genes and small molecules, from yeast to humans
Algorithms for biological network alignment
Insights form molecular dynamics simulations of the 70S bacterial ribosome
A multiphasic study of patterns in diversity and structure within a coastal Vibrio cholerae population
Rational engineering in synthetic biology: A genetic pulse generator
Technologies for high throughput single molecule DNA sequencing
Characterization of protein function using automated computational methods
Discriminative structured models for biological sequence analysis
Knowledge-based modeling of RNA 3D structure
Some methods for analyzing high-dimensional genomic data
Modeling human tumor progression - identifying an extracellular matrix interaction network involved in epithelial carcinogenesis
Using heterogeneous sources of biological knowledge to improve the identification of differentially expressed genes