Dear Vanessa, Thanks for your reply. Yes I read that in the schema of the table.
However, by performing the following exercise: For a signalValue = 8.01812 pValue = -log10(signalValue) -LOG10(8.01812) =-0.904072552 pValue = -0.904072552 which is different than the reported pValue. pValue=15.4 Excuse me if I'm doing the math in the wrong way. If so, how should I do the math? On the other hand please let me know if the score fields are useful for statistical analysis. Regards, Diego El día 7 de febrero de 2012 14:18, Vanessa Kirkup Swing <[email protected]> escribió: > Hi Diego, > > The reason you are seeing high numbers for the pValue is because we > use -log10. More information about ENCODE file formats can be found > here: > > http://genome.ucsc.edu/FAQ/FAQformat.html > > and additional information can be found by clicking on the "schema" > links for each track in the track description pages. > > Hope that clarifies the issue for you. If you have further questions, > please email the list: [email protected]. > > Vanessa Kirkup Swing > UCSC Genome Bioinformatics Group > > > ---------- Forwarded message ---------- > From: Diego Pereira <[email protected]> > Date: Tue, Feb 7, 2012 at 5:46 AM > Subject: [Genome] pValues and Score fields > To: [email protected] > > > Good morning, > I'm wondering, what is the meaning of those pValues of 3100, 324 etc? > How do they are calculated? > I never saw something like that before. > I usually think about pValues as quantities in the range from 0 to 1. > So those values confuse me a little bit. > On the other hand, how useful are your score fields for statistical purposes? > I understand the primary use of those fields is for the graphics. > However, it seems they are "normalized" data, so I'm wondering whether > I can use them saving me to reinvent the wheel. > Regards, > Diego > _______________________________________________ > Genome maillist - [email protected] > https://lists.soe.ucsc.edu/mailman/listinfo/genome _______________________________________________ Genome maillist - [email protected] https://lists.soe.ucsc.edu/mailman/listinfo/genome
