Showing 5 open source projects for "data collection algorithm"

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  • 1
    mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.
    Downloads: 0 This Week
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  • 2

    BioPPSy

    A biochemical property prediction system

    Computationally predicts the pharmacokinetic properties of drug candidates using Quantitative Structure Property Relationships (QSPR) modelling. Assembles a set of tools and databases for predicting the physical properties of small molecules. The program models a given property's dependence on a collection of molecular and structural descriptors using a training set of molecules. Neural networks and support vector regression are available, as well as linear models. The models generated by...
    Downloads: 2 This Week
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  • 3
    RDKit

    RDKit

    Open-Source Cheminformatics and Machine Learning

    A collection of cheminformatics and machine-learning software written in C++ and Python. NOTE: the RDKit source code and downloads are now in github: https://github.com/rdkit/rdkit The core algorithms and data structures are written in C++. Wrappers are provided to use the toolkit from either Python or Java. Additionally, the RDKit distribution includes a PostgreSQL-based cartridge that allows molecules to be stored in relational database and retrieved via substructure and similarity searches.
    Downloads: 14 This Week
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  • 4
    The aim of the project is to provide open source collection of algorithms in the field of spectroscopy: data handling and processing, modeling and artificial intelligence tools.
    Downloads: 0 This Week
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  • 5
    The CheckCML project is a collection of modules for the production and checking of chemical experimental data represented as CML. The core CheckCML library provides classes for the checking process; tools such as OscarData allow for the production of CML
    Downloads: 0 This Week
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