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BMCBI
2010
118views more  BMCBI 2010»
15 years 4 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
BMCBI
2010
116views more  BMCBI 2010»
15 years 4 months ago
A hybrid approach to protein folding problem integrating constraint programming with local search
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Abu Zafer M. Dayem Ullah, Kathleen Steinhöfel
BMCBI
2008
107views more  BMCBI 2008»
15 years 4 months ago
A machine learning approach to explore the spectra intensity pattern of peptides using tandem mass spectrometry data
Background: A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughp...
Cong Zhou, Lucas D. Bowler, Jianfeng Feng
BMCBI
2010
122views more  BMCBI 2010»
15 years 4 months ago
Genome3D: A viewer-model framework for integrating and visualizing multi-scale epigenomic information within a three-dimensional
Background: New technologies are enabling the measurement of many types of genomic and epigenomic information at scales ranging from the atomic to nuclear. Much of this new data i...
Thomas M. Asbury, Matt Mitman, Jijun Tang, W. Jim ...
BMCBI
2008
132views more  BMCBI 2008»
15 years 4 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
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