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2 projects in result set.
0. 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.  

Activity Percentile: 0.00 Registered: 20131219 15:12 
1. casper  casper infers alternative splicing from highthroughput 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.  

Activity Percentile: 0.00 Registered: 20111011 08:51 