Open Access Highly Accessed Software

K-OPLS package: Kernel-based orthogonal projections to latent structures for prediction and interpretation in feature space

Max Bylesjö1†, Mattias Rantalainen2†, Jeremy K Nicholson2, Elaine Holmes2 and Johan Trygg1*

1 Research Group for Chemometrics, Department of Chemistry, Umeå University, Umeå, SE-901 87, Sweden

2 Department of Biomolecular Medicine, Division of Surgery, Oncology, Reproductive Biology and Anaesthetics (SORA), Faculty of Medicine, Imperial College, London, SW7 2AZ, UK

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BMC Bioinformatics 2008, 9:106 doi:10.1186/1471-2105-9-106

Published: 19 February 2008

Additional files

Additional File 1:

Code examples for R and MATLAB. Provides code examples (with illustrations) for running typical tasks using the K-OPLS package for both R and MATLAB

Format: PDF Size: 258KB Download file

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Additional File 2:

K-OPLS package version 1.0.3 for R (Unix). Provides the K-OPLS package version 1.0.3 for R, built for Unix-like systems (e.g. Linux, MacOS X, etc)

Format: ZIP Size: 6.4MB Download file

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Additional File 3:

K-OPLS package version 1.0.3 for R (Windows). Provides the K-OPLS package version 1.0.3 for R, built for Windows

Format: ZIP Size: 6.5MB Download file

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Additional File 4:

K-OPLS package version 1.0.3 for MATLAB. Provides the K-OPLS version 1.0.3 source code and documentation for MATLAB

Format: ZIP Size: 9.1MB Download file

Open Data