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BioAssayData

One of the central principles of MAGE is that data objects are regarded as 3-dimensional matrices, where there are bioassays (experimental steps or conditions) along one dimension, design elements (spots) along the other dimension and quantitation types (e.g., signal intensity, background intensity) along the 3^rd dimension. Bioassay data objects can be represented in one of two ways: as a set of vectors in the form (value, dimension1, dimension2, dimension3) (useful for small amounts of data), or as a 3-D matrix (BioDataCube). Transformations (e.g., filtering, normalization) can be applied to one or more bioassay data objects, resulting in derived data objects. A transformation involves computing values of the resulting 3-D matrix from the values of source matrices, and it also transforms dimensions. On this diagram just the mapping of quantitation types into new quantitation types has been shown; DesignElementMapping and BioAssayMapping are modeled similarly. A quantitation type mapping transforms a list of quantitation types into another list of quantitation types, and it consists of maps that deal with single target quantitation types.

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Last modified: 17 Jul, 2006.                              Contact Us
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