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    Reproducible-research

    Reproducible-research

    A Reproducible Data Analysis Workflow with R Markdown, Git, Make, etc.

    In this tutorial, we describe a workflow to ensure long-term reproducibility of R-based data analyses. The workflow leverages established tools and practices from software engineering. It combines the benefits of various open-source software tools including R Markdown, Git, Make, and Docker, whose interplay ensures seamless integration of version management, dynamic report generation conforming to various journal styles, and full cross-platform and long-term computational reproducibility. ...
    Downloads: 1 This Week
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  • 2

    MS Data Miner

    MS Data Miner - A web-based proteomics software

    ...It was developed to significantly decrease the data analysis time and to handle large proteomic studies. This open sourced system includes a spectra validation-system and automatically screenshot generation tool for Mascot-assigned spectra. In addition, a GO term analysis function and a tool for generating comparative data-reports are included. The software is described in the following paper: Dyrlund TF, Poulsen ET, Scavenius C, Sanggaard KW, Enghild JJ. MS Data Miner: A web-based software tool to analyze, compare and share mass spectrometry protein identifications. PROTEOMICS 2012 http://www.ncbi.nlm.nih.gov/pubmed/22833312
    Downloads: 1 This Week
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  • 3
    EEG-Holter - Designed for analysis of long-term EEG - Holter. Java developed, it supports medical and logbook anotations, epileptic events data, graphics and EDF files. UNIFESP © 2009 - Aristides Tavares dos Santos, Prof. Dr. Carlos J R Campos.
    Downloads: 0 This Week
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  • 4
    NeuroEvolver is a tool for training and experimenting with one particular kind of recurrent neural networks, namely Long Short-Term Memory networks using an evolutionary learning method.
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    Ship Agents Faster

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  • 5
    Webmine is software tool that uses the Google Web api to generate a set of similar terms from a given seed term and identifies most probable category for the set.
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