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    "info": {
        "author": "Nick Seidenman",
        "author_email": "seidenman@wehi.edu.au",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Environment :: Console",
            "License :: OSI Approved :: BSD License",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Scientific/Engineering :: Information Analysis"
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        "description": "===========================================\nMatricks: Manipulating Datasets as Matrices\n===========================================\n\nClass for importing and querying expression dataasets organized as a column-\nand row-annotated  matrix.\n\nExpression datasets contain the numeric results of one or more samples\nderived from microarray assays.   Common to each of the assays is the\nspecific platform (microarray).   The dataset can be regarded as a table\nwith rows and columns.  Each column represents a single assay, and each row \ncontains the assay results for a specific probe on the assay platform.  Thus,\nthe values in any given row are those obtained from the same probe location\non the platform.  These are referred to as `expression profiles`.\n\nA dataset can be regarded as a table, such as this one:\n\n+----------+-------+-------+-------+-------+\n| probe_id | HSC 1 | HSC 2 | NK 1  | NK 2  | \n+==========+=======+=======+=======+=======+\n| 45283    | 10.14 |  9.31 |   8.9 |  8.78 |\n+----------+-------+-------+-------+-------+\n| 45284    | 12.52 | 12.63 | 12.55 | 11.96 |\n+----------+-------+-------+-------+-------+\n| 45285    |  6.78 |  6.91 |  7.83 |  7.86 |\n+----------+-------+-------+-------+-------+\n| 45286    |  5.58 |  5.06 |  6.69 |  6.64 |\n+----------+-------+-------+-------+-------+\n| 45287    |  7.85 |  8.13 |  8.47 |  8.56 |\n+----------+-------+-------+-------+-------+\n| 45288    |  8.12 |  7.17 |  8.71 |  8.08 |\n+----------+-------+-------+-------+-------+\n| 45289    |  6.82 |  6.15 |  5.87 |  5.32 |\n+----------+-------+-------+-------+-------+\n| 45290    | 10.55 | 10.39 |  10.7 |  9.93 |\n+----------+-------+-------+-------+-------+\n\n\nExpression datasets, with rare exception, are stored in text (i.e. flat) files\nthat have the following format:\n\n* two or more rows of data, delimited by ASCII newline (\\\\x0a) characters.\n  (Strictly speaking, there needen't be any data at all, but what's the point of that?)\n\n* each line or row consists of two or more columns of data, delimited by ASCII TAB (\\\\x09) characters.\n\n* the first column contains the key or `probe ID`, assumed to be alpha-numeric, or for the probe.\n\n* the first row consists of labels identifying the probe ID and sample columns.  This, too, is assumed\n  to be alpha-numeric.\n\n* the second through last rows contain expression values and, aside from the first column, which\n  contains the probe ID, are assumed to be floating point numbers.  In microarray parlance, \n  each row is  typically referred to as an `expression profile`.\n\nSome datasets may differ from this format.  For instance, there may be no (first) row of labels,\nor the data may be of some format other than floating point.  Provision is made for handling these\narguably special cases.  However, the default settings for instantiating `Matricks` classes\nmakes the foregoing assumptions about the contents of raw source data.  It is further assumed that\nthe source dataset is encoded in ASCII strings, requiring the conversion of all numeric data\nto ``float`` type objects.\n\n`Matricks` selection operations generally return `Matricks` objects.   These can be iterated,\nrow-wise, much like lists or tuples, to access individual expression profiles, the contents of which\ncan be retrieved using list / tuple semantics.",
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        "keywords": "dataset manipulation algebra bioinformatics",
        "license": "UNKNOWN",
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        "maintainer_email": null,
        "name": "matricks",
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        "summary": "manipulate datasets encoded as 2-D matrices with annotation (first) row and (first) column",
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