PYCHEM: A multivariate analysis package for python

Roger M. Jarvis, David Broadhurst, Helen Johnson, Noel M. O'Boyle, Royston Goodacre

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Summary: We have implemented a multivariate statistical analysis toolbox, with an optional standalone graphical user interface (GUI), using the Python scripting language. This is a free and open source project that addresses the need for a multivariate analysis toolbox in Python. Although the functionality provided does not cover the full range of multivariate tools that are available, it has a broad complement of methods that are widely used in the biological sciences. In contrast to tools like MATLAB, PyChem 2.0.0 is easily accessible and free, allows for rapid extension using a range of Python modules and is part of the growing amount of complementary and interoperable scientific software in Python based upon SciPy. One of the attractions of PyChem is that it is an open source project and so there is an opportunity, through collaboration, to increase the scope of the software and to continually evolve a user-friendly platform that has applicability across a wide range of analytical and post-genomic disciplines. © 2006 Oxford University Press.
    Original languageEnglish
    Pages (from-to)2565-2566
    Number of pages1
    JournalBioinformatics
    Volume22
    Issue number20
    DOIs
    Publication statusPublished - Oct 2006

    Fingerprint

    Dive into the research topics of 'PYCHEM: A multivariate analysis package for python'. Together they form a unique fingerprint.

    Cite this