论文信息 - BIOINFORMATICS APPLICATIONS NOTE

BIOINFORMATICS APPLICATIONS NOTE

UNLABELLED 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. AVAILABILITY http://sourceforge.net/projects/pychem

[1] Bryan F. J. Manly,et al. Multivariate Statistical Methods : A Primer , 1986 .

[2] Royston Goodacre,et al. Genetic algorithm optimization for pre-processing and variable selection of spectroscopic data , 2005, Bioinform..

[3] Satoru Miyano,et al. Open source clustering software , 2004 .

[4] J. Mesirov,et al. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[5] S Miyano,et al. Open source clustering software. , 2004, Bioinformatics.

[6] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[7] M. Forina,et al. Multivariate calibration. , 2007, Journal of chromatography. A.

[8] Richard G. Brereton,et al. Chemometrics: Data Analysis for the Laboratory and Chemical Plant , 2003 .

[9] David E. Booth,et al. Chemometrics: Data Analysis for the Laboratory and Chemical Plant , 2004, Technometrics.

[10] D. Botstein,et al. Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.