PYCHEM: a multivariate analysis package for python | Zendy

Roger M. Jarvis | Zendy; David Broadhurst | Zendy; Helen E. Johnson | Zendy; N.M. O'Boyle | Zendy; Royston Goodacre | Zendy

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PYCHEM: a multivariate analysis package for python

Author(s) -

Roger M. Jarvis,

David Broadhurst,

Helen E. Johnson,

N.M. O'Boyle,

Royston Goodacre

Publication year - 2006

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btl416

Subject(s) - python (programming language) , computer science , toolbox , scripting language , graphical user interface , programming language , interoperability , software engineering , software , multivariate statistics , user interface , matlab , world wide web , machine learning

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.

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