Limma and XML
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Chen, Wei ▴ 20
@chen-wei-5700
Last seen 11.1 years ago
Dear all, Is there an easy way to read 300 Imagene files in XML format to Limma? Your help is highly appreciated. Sincerely, Wei Chen, PhD Assistant Professor Biostatistics Core, Karmanos Cancer Institute Department of Oncology, School of Medicine Wayne State University 87 E Canfield, 4th floor Detroit, MI 48201 Phone: (313) 576-8655 Fax: (313) 576-8656 E-mail: chenw@karmanos.org Better treatments. Better outcomes. ----------- Confidentiality Notice: This email message, including an...{{dropped:12}}
Cancer Cancer • 880 views
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Chen, Wei ▴ 20
@chen-wei-5700
Last seen 11.1 years ago
Dear all, Is there an easy way to read 300 Imagene files in XML format to Limma? Your help is highly appreciated. Sincerely, Wei Chen, PhD Assistant Professor Biostatistics Core, Karmanos Cancer Institute Department of Oncology, School of Medicine Wayne State University 87 E Canfield, 4th floor Detroit, MI 48201 Phone: (313) 576-8655 Fax: (313) 576-8656 E-mail: chenw@karmanos.org Better treatments. Better outcomes. ----------- Confidentiality Notice: This email message, including an...{{dropped:12}}
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Hi, On Thu, Jan 10, 2013 at 2:57 PM, Chen, Wei <chenw at="" karmanos.org=""> wrote: > Dear all, > > Is there an easy way to read 300 Imagene files in XML format to Limma? Your help is highly appreciated. A brief search of the archives: http://search.gmane.org/search.php?group=gmane.science.biology.informa tics.conductor&query=imagene Suggest thats there is a `read.imagene` function in limma, so I'd start there. I have no idea if it handles XML format -- which, I think, is a surprising format to store microarray data, but ... If it doesn't, perhaps you can parse the XML into the expected format, and carry from there. HTH, -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact
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@steve-lianoglou-2771
Last seen 6 months ago
United States
Hi, On Fri, Jan 11, 2013 at 9:36 AM, Chen, Wei <chenw at="" karmanos.org=""> wrote: > Hi Steve, > > I contact the developer of Limma. The package does not handle XML format. Yes, XML is an unusual way to store the data. But I am stuck with 300 files, not a small number. Is there an easy way to parse the XML to excel or txt? I have no idea of how easy it would be, as I've never seen what this data looks like. I suspect this task will, in some sense, be "easy" -- but it will also likely be extremely tedious. If you want to get fancy, my guess it that using XQuery is "the right" way to go, but if you have no experience w/ XQuery, it won't be so helpful. My guess is that you may have to end up writing (or getting someone else to write) some adhoc script that parses the XML files into tables using your favorite text processing language. -steve -- Steve Lianoglou Graduate Student: Computational Systems Biology | Memorial Sloan-Kettering Cancer Center | Weill Medical College of Cornell University Contact Info: http://cbio.mskcc.org/~lianos/contact
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@gordon-smyth
Last seen 8 hours ago
WEHI, Melbourne, Australia
Dear Wei Chen, I have never read an XML file into R, but a google search tells me that "The XML package provides general facilities for reading and writing XML documents within R." If the XML files are converted into data frames, then the information can be input to limma. Best wishes Gordon > Date: Thu, 10 Jan 2013 15:10:31 +0000 > From: "Chen, Wei" <chenw at="" karmanos.org=""> > To: "'bioconductor at stat.math.ethz.ch'" > <bioconductor at="" stat.math.ethz.ch=""> > Subject: [BioC] Limma and XML > > Dear all, > > Is there an easy way to read 300 Imagene files in XML format to Limma? > Your help is highly appreciated. > > Sincerely, > > Wei Chen, PhD > Assistant Professor > Biostatistics Core, Karmanos Cancer Institute > Department of Oncology, School of Medicine > Wayne State University > 87 E Canfield, 4th floor > Detroit, MI 48201 > Phone: (313) 576-8655 > Fax: (313) 576-8656 > E-mail: chenw at karmanos.org > Better treatments. Better outcomes. > ______________________________________________________________________ The information in this email is confidential and intend...{{dropped:4}}
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