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2 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.

Development Status : 4 - Beta [Filter]
Environment : Console (Text Based) [Filter]
Intended Audience : Developers [Filter]
Intended Audience : End Users/Desktop [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : OS Independent [Filter]
Programming Language : C/C\+\+ (Now Filtering)
Programming Language : R (Now Filtering)
Topic : Bayesian Statistics [Filter]
Topic : Bioinformatics : Statistics (Now Filtering)
Topic : Genetics (Now Filtering)

Activity Percentile: 0.00

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.

Environment : Console (Text Based) [Filter]
License : OSI Approved : GNU General Public License (GPL) [Filter]
Natural Language : English [Filter]
Operating System : MacOS [Filter]
Operating System : POSIX : Linux [Filter]
Programming Language : C/C\+\+ (Now Filtering)
Programming Language : R (Now Filtering)
Topic : Bioinformatics : Statistics (Now Filtering)
Topic : Genetics (Now Filtering)

Activity Percentile: 0.00

Registered: 2013-12-19 15:12