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    Biomind ArrayGenius

    Category  Genomics>Gene Expression Analysis/Profiling/Tools

    Abstract  ArrayGenius, Biomind's flagship product, is an enterprise
    software system for microarray data analysis. ArrayGenius combines
    advanced machine learning algorithms with massive volumes of
    background information, including biological ontologies, to deliver
    straightforward but advanced analysis.

    Note: Biomind utilizes support vector machines and genetic
    programming in its commercial analysis software, ArrayGenius™.

    Most microarray analysis software packages all do the same tasks, they
    find the most differentiated genes between two categories, make
    cluster dendrograms, etc.

    Some of them even allow you to use knowledge resources like the
    Gene Ontology to drill down deeper into the biological meaning of your
    analytical results.

    All this is valuable -- but ArrayGenius is different!

    When microarray data is loaded into ArrayGenius, the first thing it does
    is compare your data to its internal ontologies -- built based on the
    Gene Ontology (GO) and proteomic databases -- and create an
    enhanced dataset. The enhanced dataset tells you the degree to which
    various biological processes and protein families are expressed in your
    dataset. ArrayGenius uses the enhanced dataset along with the original
    one, in all its subsequent analyses.

    You can make cluster dendrograms -- both the familiar kind where you
    see which genes cluster together in the dataset, and a new kind, where
    you get to observe which biological processes cluster together in the
    dataset.

    And then things get really interesting...

    A common situation is where microarray data samples can be divided
    into two or more categories. These categories may be Case vs. Control;
    they may represent different time points, etc. In this sort of situation, you
    can ask ArrayGenius to learn classification models -- mathematical
    rules that predict whether a sample belongs to one category or another,
    using the gene expression values in the sample and also the inferred
    expression values of biological processes and protein families in the
    sample. In many cases it finds extremely accurate rules -- our studies
    show that, after a bit of experimentation with parameter values, it
    generally beats the best algorithms from the academic literature.
    Sometimes these rules are surprisingly simple, other times they're
    more complex.

    Generally ArrayGenius will learn a lot of classification models for a
    dataset, Not just one or two -- and it can then study which genes,
    processes and families occur most often across all its models. This is
    a novel way of detecting which genes, processes or families are most
    important to the biological phenomenon being studied in the dataset.
    The most important features, in this sense, will often Not be the ones
    most differentiated in expression between the categories of interest.
    That's because ArrayGenius is figuring out which genes, processes
    and families are most important, Not in terms of their solitary activity, but
    in terms of their interactions with other genes, processes and families.

    And once you've gotten your results, you can interpret them via following
    hyperlinks into the Gene Ontology (GO) database, into PubMed, into
    various other online resources -- and into the BiomindDB, Biominds'
    own integrative data resource that provides useful functions like finding
    the research articles that focus on particular combinations of genes and
    processes.

    ArrayGenius's novel approach provides a lot of information that more
    traditional microarray analysis doesn't:

    1) Ontological data integrated into the analytical process, so that
    classification rules and clusters involve biological processes and
    structures and families, Not just raw gene expression values.

    2) A sophisticated understanding of which biological processes are
    important to the phenomena under analysis.

    3) Extremely accurate classification rules, useful for diagnostics and
    other purposes.

    New kinds of knowledge, indicating biological relationships and
    research directions that would otherwise go unnoticed. A smarter way to
    analyze microarray data.

    Applications --

    1) Biomarker Discovery, including cases where biomarkers involve
    complex multiple gene interactions.

    2) Biological Processes Interpretation, including dynamics and
    pathways underlying diseases and other phenotypic characteristics.

    3) Personalized Medicine, including identification of individuals likely to
    suffer toxic reactions to particular drugs.

    4) Fundamental Research, including gene function and metabolic
    pathway research.

    Product Highlights --

    1) Classification Accuracy which is industry-best (general clinical, and
    clinical toxicological, and general/non-clinical).

    2) Powerful Reporting which condenses and summarizes results from
    complex analysis, including clustering and classification.

    3) Most Important Features extraction from experimental data, including
    genes, gene products and biological processes.

    4) Classification Rule Learning for predicting biological or clinical
    subject classification based on genetic and clinical profile data.

    5) Utilization Clusters of genes or gene products which tend to be found
    together in the context of biological phenomenon under study.

    The ‘most important features’ reporting function, which highlights
    individual features common among hundreds or thousands of
    supervised classification models (classification model ensembles), is
    unique to ArrayGenius, and provides deeper insight when compared
    with rudimentary analytical methods such as tabulation or clustering of
    most highly expressed genes.

    ArrayGenius OnDemand is available for live use by subscription.
    ArrayGenius is also available as an enterprise application installed on
    qualifying Linux platforms

    Note: GeneGenius (another advanced Biomind product) applies an
    ArrayGenius-type methodology to single nucleotide polymorphism
    (SNP) analysis, providing immeasurable value in the case of complex
    diseases where No individual SNP provides much information, yet
    combinations of SNP's do effectively characterize conditions of interest
    (such as diseases).

    System Requirements  

    Contact manufacturer

    Manufacturer   Home office; see web site for international locations.

    Biomind LLC
    1405 Bernerd Place,
    Rockville MD 20851
    USA
    Tel: (240) 505-6518 or
    e-mail sales@biomind.com

    Manufacturer's Web Site  www.biomind.com/arraygenius.htm

    Price   Contact manufacturer

    G6G Product Number  20145

    G6G Manufacturer Number 100427
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