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Logo SHOGUN 0.6.6

by sonne - October 11, 2008, 09:47:28 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2743 views, 674 downloads, 1 comment, 4 subscriptions

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The SHOGUN machine learning toolbox's focus is on large scale kernel methods and especially on Support Vector Machines (SVM). It comes with a generic interface for SVMs, features several SVM and [...]


Logo Spike train feature extraction by Bayesian binning 0.1

by dendres - September 24, 2008, 16:19:14 CET [ BibTeX BibTeX for corresponding Paper Download ] 1110 views, 276 downloads, 1 subscription

binsdfc is a command line implementation of the algorithm described in [Endres,Oram,Schindelin,Foldiak:Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms, [...]


Logo Nested Effects Models 2.4.0

by florian - July 8, 2008, 00:05:59 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 758 views, 150 downloads, 1 subscription

Nested Effects Models (NEMs) are a class of directed graphical models originally introduced to analyze the effects of gene perturbation screens with high-dimensional phenotypes. In contrast to other [...]


Logo Sleipnir 1.0

by chuttenh - June 30, 2008, 03:22:19 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 839 views, 167 downloads, 1 subscription

The Sleipnir C++ library implements a variety of machine learning and data manipulation algorithms focusing on heterogeneous data integration and efficiency for large biological data collections.


Logo Easysvm 0.2

by gxr - May 28, 2008, 19:21:27 CET [ Project Homepage BibTeX Download ] 825 views, 156 downloads, 1 comment, 1 subscription

The Easysvm package provides a set of tools based on the Shogun toolbox allowing to train and test SVMs in a simple way.


Logo mSplicer 0.3

by sonne - May 18, 2008, 13:07:40 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1342 views, 249 downloads, 2 subscriptions

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For modern biology, precise genome annotations are of prime importance as they allow the accurate definition of genic regions. We employ state of the art machine learning methods to assay and [...]


Logo Local Alignment Kernels 0.3.2

by hiroto - December 1, 2007, 00:10:23 CET [ Project Homepage BibTeX Download ] 770 views, 215 downloads, 0 subscriptions

Local alignment kernels measure the similarity between two sequences by summing up scores obtained from local alignments with gaps of the sequences.


PALMA computes the optimal spliced alignment of a mRNA sequence to a genomic sequence. The main python script takes two FASTA files containing the target (e.g. a DNA sequence, part of the genome) [...]