@BorgwardtLab

Machine Learning and Computational Biology Lab

  • Detection of statistically significant combinations of SNPs in association mapping

    C++ 1 1 Updated Oct 18, 2018
  • Kernelized rank learning for personalized drug recommendation

    Jupyter Notebook 3 1 Updated Oct 8, 2018
  • A software package for statistically significant shapelet mining

    C++ 3 MIT Updated Sep 20, 2018
  • Scientifica app for finding the most significant combinations of features

    Python 2 2 Updated Sep 6, 2018
  • Automatic Relevance Determination for Imputation of Summary Statistics

    Python 2 1 Apache-2.0 Updated Sep 4, 2018
  • Multiple change detection with python

    C++ 9 6 Updated Aug 8, 2018
  • A package for computing Graph Kernels

    C++ 41 30 MIT Updated Jul 26, 2018
  • Graph kernels

    C++ 31 13 GPL-2.0 Updated Jul 13, 2018
  • Homebrew taps of the Machine Learning and Computational Biology group of Prof. Karsten Borgwardt

    Ruby Updated Jun 12, 2018
  • Multi-task feature selection coupled with multiple network regularizers

    R 2 3 GPL-2.0 Updated Mar 5, 2018
  • Kernel Conditional Clustering

    Matlab 1 1 Updated Sep 5, 2017
  • Multi-view Spectral Clustering on Conflicting Views

    Python 3 5 Updated Jul 12, 2017
  • Fast Automatic Conditional Search in the presence of categorical covariates (Papaxanthos et al., NIPS 2016) http://goo.gl/dNmZE4

    C++ 2 3 Updated Mar 28, 2017
  • C 2 2 Updated Mar 21, 2017
  • Visualization and analysis of data sets containing time series with history information

    Python 1 Updated Mar 17, 2017
  • Genome-wide detection of intervals of genetic heterogeneity while accounting for categorical covariates (Llinares-López et al., Bioinformatics 2017) https://goo.gl/2QN2La

    C 4 Updated Mar 16, 2017
  • Structural Variant Machine (SV-M) to accurately predict InDels from NGS paired-end short reads (Grimm et al., BMC Bioinformatics 2013) http://goo.gl/M526Av

    C++ 1 GPL-3.0 Updated Oct 19, 2016
  • A C and CUDA implementation of tabulating linear regression for an exhaustive pairwise interaction search on a CUDA enabled GPU (Kam-Thong et al., Human Heredity 2012) http://goo.gl/XE54ir

    Cuda 2 1 Updated Oct 19, 2016
  • Companion scripts to the GLIDE software

    Python 1 Updated Oct 18, 2016
  • Selecting CONected Explanatory SNPs

    C++ 1 Updated Oct 18, 2016
  • Genome-wide detection of intervals of genetic heterogeneity (Llinares-Lopez et al., ISMB/Bioinformatics 2015) http://goo.gl/h9gl6K

    C 1 4 Updated Oct 14, 2016
  • Scalable kernels for graphs with continuous attributes (Feragen et al., NIPS 2013) http://goo.gl/VxSfzZ

    Matlab 3 3 Updated Oct 14, 2016
  • Efficient algorithms and GPU implementations for genome-wide epistasis screens as described in (Achlioptas et al., KDD 2011) http://goo.gl/jX8kPi

    Python 1 Updated Oct 14, 2016
  • An implementation of the Lasso model for association mapping and phenotype prediction which corrects for population strucure (Rakitsch et al., Bioinformatics 2013): http://goo.gl/FRmXwI

    Python 6 1 Updated Oct 14, 2016
  • Confounder-corrected Classification with Support Vector Machines (Li et al., Bioinformatics 2011) http://goo.gl/Qz9Ap5

    C++ 1 Updated Oct 13, 2016
  • Computational Framework for Genome-Wide Association Studies and Meta-Studies in C/C++ with Python Interfaces

    C++ 2 Updated Oct 7, 2016
  • AraPheno source code for http://arapheno.1001genomes.org

    Python 1 5 Updated Aug 15, 2016
  • The evaluation of tools used to predict the impact of missense mutations is hindered by two types of circularity (Grimm et al., Human Mutation 2015) http://goo.gl/VSosV5

    Python 3 GPL-3.0 Updated May 5, 2016
  • Rapid computation of distance-based outlierness scores via sampling

    C 25 4 GPL-2.0 Updated Mar 15, 2016
  • Finding statistically significant subgraphs while correcting for multiple testing

    C++ 2 4 GPL-2.0 Updated Oct 16, 2015
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