5 programs for "cell negative analysis" with 2 filters applied:

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  • 1
    MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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  • 2
    Myrtle

    Myrtle

    A simple programmable spreadsheet for learning statistics.

    Myrtle is a simple programmable spreadsheet and statistical analysis software specifically designed for learning statistics. It provides the standard spreadsheet functionality one would expect like multiple tabbed sheets, relative and absolute row and column referencing in formulas, and a large catalog of built-in functions. Functions specific to logic and computer science, mathematics, probability, and statistics are available. Student's can easily create, customize, and update plots...
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  • 3

    colonyzer image analysis software

    Image analysis estimating cell density in arrayed microbial cultures

    Image analysis software for quantification of cell density in microbial cultures (e.g. S. cerevisiae) growing on solid agar plates. Specialises in detection of extremely low cell densities. Forms part of the Quantitative Fitness Analysis (QFA) workflow: http://research.ncl.ac.uk/qfa/ Suitable for high-throughput, genome-wide analysis of culture libraries when combined with the following qfa R package: http://qfa.r-forge.r-project.org/ This is the version presented, used and demonstrated...
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  • 4
    Genetic programming environment to inference context free grammars base on positive and negative examples of language.
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    AlertBot: Website Monitoring of Uptime, Performance, and Errors

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  • 5
    Find the pitch of a power spectrum (signal) as per the afferent/efferent neural crossover. This occurs between the Lateral olivocochlear efferents and the inner hair cell afferents.
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