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BMCBI
2010
91views more  BMCBI 2010»
13 years 8 months ago
Ranked retrieval of Computational Biology models
Background: The study of biological systems demands computational support. If targeting a biological problem, the reuse of existing computational models can save time and effort. ...
Ron Henkel, Lukas Endler, Andre Peters, Nicolas Le...
BMCBI
2008
132views more  BMCBI 2008»
13 years 8 months ago
Clustering ionic flow blockade toggles with a Mixture of HMMs
Background: Ionic current blockade signal processing, for use in nanopore detection, offers a promising new way to analyze single molecule properties with potential implications f...
Alexander G. Churbanov, Stephen Winters-Hilt
BMCBI
2008
77views more  BMCBI 2008»
13 years 8 months ago
Stochastic models for the in silico simulation of synaptic processes
Background: Research in life sciences is benefiting from a large availability of formal description techniques and analysis methodologies. These allow both the phenomena investiga...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
BMCBI
2006
86views more  BMCBI 2006»
13 years 8 months ago
Microbial identification by mass cataloging
Background: The public availability of over 180,000 bacterial 16S ribosomal RNA (rRNA) sequences has facilitated microbial identification and classification using hybridization an...
Zhengdong Zhang, George W. Jackson, George E. Fox,...
PAA
2006
13 years 8 months ago
Audio-visual sports highlights extraction using Coupled Hidden Markov Models
We present our studies on the application of Coupled Hidden Markov Models(CHMMs) to sports highlights extraction from broadcast video using both audio and video information. First,...
Ziyou Xiong