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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...
Bagging multiple comparisons from microarray data
Bagging multiple comparisons microarray data
2010/4/29
Bagging multiple comparisons from microarray data。
Bayesian Analysis of Comparative Microarray Experiments by Model Averaging
Microarrays gene expression gamma distribution log-normal distribution model averaging true and false positive rates false discovery rate
2009/9/21
A major challenge to the statistical analysis of microarray data is
the small number of samples limited by both cost and sample availability
compared to the large number of genes, now soaring into t...
A multivariate empirical Bayes statistic for replicated microarray time course data
Microarray time course longitudinal multivariate empiricalBayes moderation gene ranking replication
2010/4/26
In this paper we derive one- and two-sample multivariate empirical
Bayes statistics (the MB-statistics) to rank genes in order of
interest from longitudinal replicated developmental microarray time
...