Quirks of Error Estimation in Cross-Linking/Mass Spectrometry

Quirks of Error Estimation in Cross-Linking/Mass Spectrometry

Cross-linking/mass spectrometry is an increasingly popular approach to obtain structural information on proteins and their complexes in solution. However, methods for error assessment are under current development. We note that false-discovery rates can be estimated at different points during data analysis, and are most relevant for residue or protein pairs. Missing this point led in our exampl...

Error estimation and reduction with cross correlations.

Besides the well-known effect of autocorrelations in time series of Monte Carlo simulation data resulting from the underlying Markov process, using the same data pool for computing various estimates entails additional cross correlations. This effect, if not properly taken into account, leads to systematically wrong error estimates for combined quantities. Using a straightforward recipe of data ...

a cross-comparative dtudy between two textbook series in terms of the presentation of politeness

چکیده ندارد.

The Estimation of Prediction Error: Covariance Penalties and Cross-Validation

Having constructed a data-based estimation rule, perhaps a logistic regression or a classification tree, the statistician would like to know its performance as a predictor of future cases. There are two main theories concerning prediction error: (1) penalty methods such as Cp, Akaike’s information criterion, and Stein’s unbiased risk estimate that depend on the covariance between data points an...

Error rate estimation via cross-validation and learning curve theory