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6 projects in result set.
0. Polyphase - This method accepts the genotype data, the relative physical position of the markers for species of any ploidy and returns the phased output. |
- Development Status : 3 - Alpha [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Topic : Bioinformatics : Statistics (Now Filtering)
- Topic : Genetics : Linkage, LD and Haplotype Mapping [Filter]
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Registered: 2016-02-18 15:57 |
1. 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. |
- Development Status : 5 - Production/Stable [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Bioinformatics : Statistics (Now Filtering)
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Cluster Analysis : Model-based Clustering [Filter]
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Registered: 2009-02-18 10:01 |
2. SPRINT: Simple Parallel R INTerface - SPRINT is a Simple Parallel R INTerface to High Performance Computing (HPC) that enables biologists to run statistical analysis scripts using R in parallel on HPC clusters. It consists of an HPC harness and a library of parallelized R functions. |
- Development Status : 5 - Production/Stable [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 : POSIX : Linux (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Topic : Bioinformatics : Statistics (Now Filtering)
- Topic : High Performance Computing : Parallel Computing [Filter]
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Registered: 2009-11-20 16:56 |
3. Quasi-likelihood parameter estimation - The package provides methods for parameter estimation for statistical models that can be simulated. We follow a quasi-likelihood approach to estimate the unknown parameter by the root of the so-called quasi-score estimating function. |
- Development Status : 4 - Beta [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : German [Filter]
- Operating System : Microsoft : Windows [Filter]
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Bioinformatics : Statistics (Now Filtering)
- Topic : Multivariate Statistics [Filter]
- Topic : Spatial Data & Statistics [Filter]
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Registered: 2017-08-30 21:22 |
4. 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 (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Bioinformatics : Statistics (Now Filtering)
- Topic : Genetics [Filter]
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Registered: 2013-12-19 15:12 |
5. 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. |
- Development Status : 4 - Beta [Filter]
- Environment : Console (Text Based) [Filter]
- Intended Audience : End Users/Desktop [Filter]
- License : OSI Approved : GNU General Public License (GPL) [Filter]
- Natural Language : English [Filter]
- Operating System : MacOS [Filter]
- Operating System : Microsoft : Windows : Windows Vista [Filter]
- Operating System : POSIX : Linux (Now Filtering)
- Programming Language : C/C\+\+ (Now Filtering)
- Programming Language : R [Filter]
- Topic : Bioinformatics : Statistics (Now Filtering)
- Topic : Cluster Analysis : Hierarchical Clustering [Filter]
- Topic : Cluster Analysis : Model-based Clustering [Filter]
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Registered: 2010-04-01 17:54 |