title: PYCHEM: a multivariate analysis package for python.
abstract: 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.
  
  
  BACKGROUND
  http://sourceforge.net/projects/pychem
authors.affiliation: School of Chemistry, The University of Manchester PO Box 88, Sackville Street, Manchester M60 1QD, UK. Roger.Jarvis@manchester.ac.uk
authors.forename: Roger M
authors.initials: RM
authors.lastname: Jarvis
authors.forename: David
authors.initials: D
authors.lastname: Broadhurst
authors.forename: Helen
authors.initials: H
authors.lastname: Johnson
authors.forename: Noel M
authors.initials: NM
authors.lastname: O'Boyle
authors.forename: Royston
authors.initials: R
authors.lastname: Goodacre
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D008954:Models, Biological; D015233:Models, Statistical; D015999:Multivariate Analysis; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D011381:Programming Languages; D012984:Software; D014584:User-Computer Interface