These report presents two methods for the identification of signal peptides and their cleavage sites. The first method is based on based neural networks and the second on hidden Markov models. The transmembrane protein topology can also be identified by a method based on hidden Markov models,...

We discuss robust filtering procedures for signal extraction from noisy time series. Particular attention is paid to the preservation of relevant signal details like abrupt shifts. moving averages and running medians are widely used but have shortcomings when large spikes (outliers) or trends...

Data from the automatic monitoring of intensive care patients exhibits trends, outliers, and level changes as well as periods of relative constancy. All this is overlaid with a high level of noise and there are dependencies between the different items measured. Current monitoring systems tend to...