Showing 5 open source projects for "course"

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    Python4Proteomics Course

    Python4Proteomics Course

    Python course for Proteomics analysis

    Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md
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  • 2

    Deem

    Analyze time-course data with significance tests, clustering, modeling

    Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included.
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  • 3
    KYM 0.5
    KYM is a MATLAB / GNU Octave set of functions that implements a wavelet-based automated procedure of quantification and characterization of biological signals. In particular it has been thought for the analysis of the oscillatory component of cytosolic calcium concentration time course.
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  • 4
    ELIA(Eyegaze Language Integration Analysis) supports the analysis of eye-tracking data for studies in language processing. ELIA eases early analysis of data to enable iterative development of experiments in response to spoken language.
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  • 5
    Book-A-Lyze is an open source web application for analysis and visualization of social structures at Facebook. The project is part of the study course “Media Management and Production” at the University of Applied Sciences, Kaiserslautern.
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