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Second round, clean up http:// links with {{ site.url }}

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Luca Beltrame 2015-05-16 12:27:23 +02:00
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_posts/2007-05-28-more-meta-analysis-difficulty.markdown
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**UPDATE:**  Today I found out that J Brooks (the corresponding author of Zhao's paper) has agreed to send the  data I needed. Thanks a lot!
When you do bioinformatics, you often test your own procedures not only on your data, but also on datasets provided by other people and publicly available. [As I stated previously](http://www.dennogumi.org/2006/11/10/the-joy-of-meta-analysis/), that's what meta-analysis is. I'm doing a bit of that for my thesis and recently I noticed that some datasets, while being public, are far from complete.
When you do bioinformatics, you often test your own procedures not only on your data, but also on datasets provided by other people and publicly available. [As I stated previously]({{ site.url }}/2006/11/10/the-joy-of-meta-analysis/), that's what meta-analysis is. I'm doing a bit of that for my thesis and recently I noticed that some datasets, while being public, are far from complete.
I was looking at the data published by [Zhao _et al._](http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&dopt=AbstractPlus&list_uids=16318415&query_hl=1&itool=pubmed_docsum) today and while it's a rather interesting dataset (177 samples of renal cell carcinoma compared to Human Universal Reference RNA), there is little or no information regarding the samples themselves. As I'm running analyses comparing different tumor grades, this is essential for me. However neither the supplementary materials nor the paper give any information. Basically this makes the whole dataset a lot less useful than what it could be.