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» On Randomized Lanczos Algorithms
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134
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BMCBI
2010
118views more  BMCBI 2010»
15 years 2 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
133views more  BMCBI 2010»
15 years 2 months ago
Improving de novo sequence assembly using machine learning and comparative genomics for overlap correction
Background: With the rapid expansion of DNA sequencing databases, it is now feasible to identify relevant information from prior sequencing projects and completed genomes and appl...
Lance E. Palmer, Mathäus Dejori, Randall A. B...
BMCBI
2008
219views more  BMCBI 2008»
15 years 2 months ago
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles
Background: Pancreatic cancer is the fourth leading cause of cancer death in the United States. Consequently, identification of clinically relevant biomarkers for the early detect...
Guangtao Ge, G. William Wong
158
Voted
BMCBI
2008
214views more  BMCBI 2008»
15 years 2 months ago
Accelerating String Set Matching in FPGA Hardware for Bioinformatics Research
Background: This paper describes techniques for accelerating the performance of the string set matching problem with particular emphasis on applications in computational proteomic...
Yoginder S. Dandass, Shane C. Burgess, Mark Lawren...
124
Voted
BMCBI
2010
193views more  BMCBI 2010»
15 years 2 months ago
MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data
Background: Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as w...
Tomás Pluskal, Sandra Castillo, Alejandro V...