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ISMB
1996
13 years 6 months ago
The Megaprior Heuristic for Discovering Protein Sequence Patterns
Several computeralgorithms for discovering patterns in groups of protein sequences are in use that are basedon fitting the parametersof a statistical model to a group of related s...
Timothy L. Bailey, Michael Gribskov
COMPLIFE
2006
Springer
13 years 9 months ago
Beating the Noise: New Statistical Methods for Detecting Signals in MALDI-TOF Spectra Below Noise Level
Background: The computer-assisted detection of small molecules by mass spectrometry in biological samples provides a snapshot of thousands of peptides, protein fragments and prote...
Tim O. F. Conrad, Alexander Leichtle, Andre Hageh&...
BMCBI
2006
102views more  BMCBI 2006»
13 years 5 months ago
Protein secondary structure prediction for a single-sequence using hidden semi-Markov models
Background: The accuracy of protein secondary structure prediction has been improving steadily towards the 88% estimated theoretical limit. There are two types of prediction algor...
Zafer Aydin, Yucel Altunbasak, Mark Borodovsky
TSDM
2000
151views Data Mining» more  TSDM 2000»
13 years 9 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli
NAACL
1994
13 years 6 months ago
Statistical Language Processing Using Hidden Understanding Models
This paper introduces a class of statistical mechanisms, called hidden understanding models, for natural language processing. Much of the framework for hidden understanding models...
Scott Miller, Richard M. Schwartz, Robert J. Bobro...