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Discriminating different classes of biological networks by analyzing the graphs spectra distribution
Discriminating different classes biological networks analyzing the graphs spectra distribution
2012/9/17
The brain's structural and functional systems, protein-protein interaction, and gene networks are examples of biological systems that share some features of com-plex networks, such as highly connected...
Statistical Methods for Analyzing Tissue Microarray Images - Algorithmic Scoring and Co-training
Statistical Methods Analyzing Tissue Microarray Images Algorithmic Scoring Co-training
2011/3/18
Recent advances in tissue microarray technology have allowed immuno-histochemistry to become a powerful medium-to-high throughput analysis tool, particularly for the validation of diagnostic and progn...
LRSA:A new computational method for analyzing time course microarray data
LRSA new computational method time course microarray data
2010/4/30
Time course data obtained from biological samples subject to specific treatments
can be very useful for revealing complex and novel biological phenomena. Although an
increasing number of time course...
A Unified Bayesian Approach for Analyzing Correlated Ordinal Response Data
A Unified Bayesian Approach Correlated Ordinal Response Data
2009/9/18
A Unified Bayesian Approach for Analyzing Correlated Ordinal Response Data。
Multivariate Theory for Analyzing High Dimensional Data
distribution of test statistics DNA microarray data fewer observations than dimension multivariate analysis of variance singular Wishart
2009/3/5
In this article, we develop a multivariate theory for analyzing multivariate datasets that have fewer observations than dimensions. More specifically, we consider the problem of testing the hypothesis...
Statistical advances and challenges for analyzing correlated high dimensional SNP data in genomic study for complex diseases
Complex disease High dimensional data Single Nucleotide Polymorphism Statistical methods
2009/2/11
Recent advances of information technology in biomedical sciences and other applied areas have created numerous large diverse data sets with a high dimensional feature space, which provide us a tremend...