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» Exploiting N-Gram Analysis to Predict Operator Sequences
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BMCBI
2006
137views more  BMCBI 2006»
13 years 6 months ago
GOPET: A tool for automated predictions of Gene Ontology terms
Background: Vast progress in sequencing projects has called for annotation on a large scale. A Number of methods have been developed to address this challenging task. These method...
Arunachalam Vinayagam, Coral del Val, Falk Schuber...
BMCBI
2010
152views more  BMCBI 2010»
13 years 6 months ago
A high-throughput de novo sequencing approach for shotgun proteomics using high-resolution tandem mass spectrometry
Background: High-resolution tandem mass spectra can now be readily acquired with hybrid instruments, such as LTQ-Orbitrap and LTQ-FT, in high-throughput shotgun proteomics workflo...
Chongle Pan, Byung-Hoon Park, William H. McDonald,...
IJCNN
2007
IEEE
14 years 1 months ago
Neural Network Ensembles for Time Series Prediction
— Rapidly evolving businesses generate massive amounts of time-stamped data sequences and defy a demand for massively multivariate time series analysis. For such data the predict...
Dymitr Ruta, Bogdan Gabrys
BMCBI
2002
131views more  BMCBI 2002»
13 years 6 months ago
Efficient Boolean implementation of universal sequence maps (bUSM)
Background: Recently, Almeida and Vinga offered a new approach for the representation of arbitrary discrete sequences, referred to as Universal Sequence Maps (USM), and discussed ...
John Schwacke, Jonas S. Almeida
CGO
2008
IEEE
14 years 1 months ago
Prediction and trace compression of data access addresses through nested loop recognition
This paper describes an algorithm that takes a trace (i.e., a sequence of numbers or vectors of numbers) as input, and from that produces a sequence of loop nests that, when run, ...
Alain Ketterlin, Philippe Clauss