HL61: Lee Newberg - Global Measures of Uncertainty: Long Overdue in Computational Molecular Biology
two papers: webb-robertson & lawrence; newberg ... lawrence - Michael Kuhn
what is a good e-value? - Diego M. Riaño-Pachón
E- and p-values are small when random data in unlikely to do well - Michael Kuhn
E-values and p-values tell you about random data but not whether there are other solutions. - Roland Krause
but there still might be other solutions which equally good E or p values - Michael Kuhn
need to define confidence / credibility limits - Michael Kuhn
e-values and p-values are poor proxies to credibility - Diego M. Riaño-Pachón
an example from RNA 2D prediction, MFE is not the best representative - Diego M. Riaño-Pachón
today's goal: compute a global measure of representativeness of a point estimate - Michael Kuhn
solution spaces are immense, but we often choose a particular point estimate... misleading e.g. if there's a bimodal solution - Michael Kuhn
Goal: Compute global mesaure of representativeness of a point estimate - Peter Menzel
Many problems are tackled by dynamic programming, HMMS, etc, collectively they are Hidden Boltzmann Models - Roland Krause
compute / estimate credibility: look at distribution of differences from point estimate - Michael Kuhn
SW alignment of nt sequences, score distribution can be modeled by exponential distribution. For a 3000x3000 alignment, the Fourier approach is fast. - Roland Krause
Will not explain all about Fourier Transform (in 15 minutes). - Roland Krause
use the credibility limit, is a simple number, even a biologist can understand that - Diego M. Riaño-Pachón
(only to get the blog on top of the ISCB portal site; the figures messed up our layout) - Reinhard Schneider