Hi,
I'll try to dig up those references. The other thing I find confusing is that
some groups use the curve fit error for the parameters. So, the errors in R1
and R2 per residue are actually from the nonlinear curve fitting process
itself. In theory, if there is no error in peak height then the
Hey,
Farrow et al. (1994) Biochemistry, 33: 5984-6003 also draw a similar
conclusion
(paragraph starting at bottom left of p. 5988) and apply the RMS value of the
noise as an estimate of the standard deviation of peak intensity. If I'm not
mistaken this is the exact assumption made by relax for
On Wed, Oct 15, 2008 at 3:53 PM, Tyler Reddy [EMAIL PROTECTED] wrote:
Hi,
I'll try to dig up those references. The other thing I find confusing is
that
some groups use the curve fit error for the parameters. So, the errors in R1
and R2 per residue are actually from the nonlinear curve
On Wed, Oct 15, 2008 at 4:56 PM, Tyler Reddy [EMAIL PROTECTED] wrote:
Hey,
Farrow et al. (1994) Biochemistry, 33: 5984-6003 also draw a similar
conclusion
(paragraph starting at bottom left of p. 5988) and apply the RMS value of
the
noise as an estimate of the standard deviation of peak
Okay, so I'll basically just need to get the rms noise (NOT S/N) for my T1 and
T2 spectra at various fields. I've been using S/N values for the NOE
calculations so that explains why those errors seemed so large. I'd like to
find a reference for the rms equation which seems to be:
Hi,
I have a general question about curve fitting within relax.
Let's say I proceed to curve fitting for some relaxation rates
(exponential decay) and that I have a duplicate delay for error estimation.
delays
0.01
0.01
0.02
0.04
...
Will the mean value (for delay 0.01) be
On Thu, Oct 16, 2008 at 3:11 PM, Sébastien Morin
[EMAIL PROTECTED] wrote:
Hi,
I have a general question about curve fitting within relax.
Let's say I proceed to curve fitting for some relaxation rates
(exponential decay) and that I have a duplicate delay for error estimation.
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