Microarrays expression measurement
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BioMed Central Page 1 of 1 (page number not for citation purposes) BMC Systems Biology Open Access Poster presentation Microarrays expression measurement Richard Pearson* Address: School of Computer Science, University of Manchester, Manchester, UK Email: Richard Pearson* - [email protected] * Corresponding author Microarrays can measure the expression levels of all genes within a species. This can give insight into the molecular basis of stress responses in plants. Recent microarray anal- ysis methods can give probability distributions of expres- sion levels as well as point estimates, which can be propagating through subsequent analyses yielding improved results. Such methods are currently slow, appli- cable only to certain types of arrays, and cannot be applied to multi-factorial experiments. There are also no methods available for analyzing multi-species experi- ments. Our work aims to address all these shortcomings of current analysis methods, and create a Propagating Uncertainty in MicroArrays (puma) package for biolo- gists. from BioSysBio 2007: Systems Biology, Bioinformatics and Synthetic Biology Manchester, UK. 11–13 January 2007 Published: 8 May 2007 BMC Systems Biology 2007, 1(Suppl 1):P67 doi:10.1186/1752-0509-1-S1-P67 <supplement> <title> <p>BioSysBio 2007: Systems Biology, Bioinformatics, Synthetic Biology</p> </title> <editor>John Cumbers, Xu Gu, Jong Sze Wong</editor> <note>Meeting abstracts – A single PDF containing all abstracts in this Supplement is available <a href="www.biomedcentral.com/content/files/pdf/1752-0509-1-S1-full.pdf">here</a>.</note> <url>http://www.biomedcentral.com/content/pdf/1752-0509-1-S1-info.pdf</url> </supplement> This abstract is available from: http://www.biomedcentral.com/1752-0509/1?issue=S1 © 2007 Pearson; licensee BioMed Central Ltd.
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Transcript of Microarrays expression measurement
BioMed Central
Page 1 of 1(page number not for citation purposes)
BMC Systems Biology
Open AccessPoster presentationMicroarrays expression measurementRichard Pearson*
Address: School of Computer Science, University of Manchester, Manchester, UK
Email: Richard Pearson* - [email protected]
* Corresponding author
Microarrays can measure the expression levels of all geneswithin a species. This can give insight into the molecularbasis of stress responses in plants. Recent microarray anal-ysis methods can give probability distributions of expres-sion levels as well as point estimates, which can bepropagating through subsequent analyses yieldingimproved results. Such methods are currently slow, appli-cable only to certain types of arrays, and cannot beapplied to multi-factorial experiments. There are also nomethods available for analyzing multi-species experi-ments. Our work aims to address all these shortcomingsof current analysis methods, and create a PropagatingUncertainty in MicroArrays (puma) package for biolo-gists.
from BioSysBio 2007: Systems Biology, Bioinformatics and Synthetic BiologyManchester, UK. 11–13 January 2007
Published: 8 May 2007
BMC Systems Biology 2007, 1(Suppl 1):P67 doi:10.1186/1752-0509-1-S1-P67
<supplement> <title> <p>BioSysBio 2007: Systems Biology, Bioinformatics, Synthetic Biology</p> </title> <editor>John Cumbers, Xu Gu, Jong Sze Wong</editor> <note>Meeting abstracts – A single PDF containing all abstracts in this Supplement is available <a href="www.biomedcentral.com/content/files/pdf/1752-0509-1-S1-full.pdf">here</a>.</note> <url>http://www.biomedcentral.com/content/pdf/1752-0509-1-S1-info.pdf</url> </supplement>
This abstract is available from: http://www.biomedcentral.com/1752-0509/1?issue=S1
© 2007 Pearson; licensee BioMed Central Ltd.
