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6 projects in result set.
0. casper - casper infers alternative splicing from high-throughput sequencing data both for known variants and de novo discovery. We use a Bayesian model with few assumptions, and modern model selection ideas with improved theoretical and computational properties.
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- Development Status : 4 - Beta [Filter]
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Registered: 2011-10-11 08:51 |
1. Low Rank Gaussian Process Regression - Fit a Low Rank Gaussian Process Regression / Linear Mixed Model for large datasets. These models are widely used in statistical genetics as a test of association while correcting for the confounding effects of kinship and population structure.
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Registered: 2013-12-19 15:12 |
2. bclust - Bayesian clustering with variable selection is a fully automatic clustering method, designed for low-sample-size-high-dimensional situations. This might be regarded as a high-dimensional variant of the mclust package.
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- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
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Registered: 2009-02-18 10:01 |
3. SMfSB - R code associated with the second and third editions of the book Stochastic Modelling for Systems Biology, by Darren J Wilkinson, published by Chapman & Hall/CRC Press.
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Registered: 2011-02-18 14:08 |
4. Bayesian Biclustering - This package uses a Bayesian spike-and-slab model to construct bidendrograms using log posterior as the natural distance defined by the model and calculates importance using log Bayes factor.
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Registered: 2010-04-01 17:54 |
5. pi0 estimators - Estimation of the proportion of true null hypotheses (pi0) from a large number of hypothesis tests; Non/parametric recovery of noncentrality parameter distribution; False discovary rates (FDR) computation.
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Registered: 2010-03-21 02:01 |
