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    "info": {
        "author": "Shuzhao Li",
        "author_email": "shuzhao.li@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: MIT License",
            "Natural Language :: English",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 2.7",
            "Topic :: Scientific/Engineering :: Bio-Informatics",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "BTM (Blood Transcription Modules)\n=================================\n\nGene modules to interpret blood transcriptomics data.\n\nUsed as alternative to conventional pathways, offering granular immunology and often better sensitivity.\nThe modules can also be used as gene sets for GSEA analysis.\nThis is the BTM modules described in\nhttps://www.nature.com/articles/ni.2789\n\nLi, S., Rouphael, N., et al, (2014).\nMolecular signatures of antibody responses derived from a systems biology study of five human vaccines.\nNature immunology, 15(2), p.195.\n\nThe btm_tool.py is to illustrate\n\n1. Converting gene level data to BTM activity table. (Can also convert Affy probeset level data to gene level data.)\n2. Enrichment test of an input gene list.\n3. Testing antibody correlation to gene expression at module level.\n\nInstallation:\nThis program requires Python 2.x, Numpy and Scipy (verion 0.10+, http://scipy.org/install.html).\nThe optional plotting function depends on Python plot library matplotlib.\n\n## Example use\n\nTo convert gene level data to BTM module activity scores:\n```\nfrom btm.btm_tool import genetable_to_activityscores\ngenetable_to_activityscores(infile, outfile)\n```\n\nDownload tutorial package at\nhttps://media.nature.com/original/nature-assets/ni/journal/v15/n2/extref/ni.2789-S5.zip\n\nThis \"BTM_tutorial_package\" download package should contain -\nbtm_tool.py, btm_example_data.py, MCV4_D3v0_probesets.txt,\ngene_ab_correlation.rnk, BTM_for_GSEA_20131008.gmt, monocytes_vs_bcells.txt.\n\n\n",
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        "home_page": "https://github.com/shuzhao-li/BTM",
        "keywords": "transcriptomics analysis bioinformatics immunology systems biology",
        "license": "MIT",
        "maintainer": "",
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        "name": "BTM",
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        "summary": "Blood Transcription Modules for transcriptomics analysis",
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