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BMCBI
2006
119views more  BMCBI 2006»
15 years 4 months ago
Hidden Markov Model Variants and their Application
Markov statistical methods may make it possible to develop an unsupervised learning process that can automatically identify genomic structure in prokaryotes in a comprehensive way...
Stephen Winters-Hilt
BMCBI
2006
108views more  BMCBI 2006»
15 years 4 months ago
Improved Chou-Fasman method for protein secondary structure prediction
Background: Protein secondary structure prediction is a fundamental and important component in the analytical study of protein structure and functions. The prediction technique ha...
Hang Chen, Fei Gu, Zhengge Huang
BMCBI
2006
153views more  BMCBI 2006»
15 years 4 months ago
Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments
Background: The small sample sizes often used for microarray experiments result in poor estimates of variance if each gene is considered independently. Yet accurately estimating v...
Maureen A. Sartor, Craig R. Tomlinson, Scott C. We...
BMCBI
2006
154views more  BMCBI 2006»
15 years 4 months ago
Automated recognition of malignancy mentions in biomedical literature
Background: The rapid proliferation of biomedical text makes it increasingly difficult for researchers to identify, synthesize, and utilize developed knowledge in their fields of ...
Yang Jin, Ryan T. McDonald, Kevin Lerman, Mark A. ...
BMCBI
2007
115views more  BMCBI 2007»
15 years 4 months ago
Seven Golden Rules for heuristic filtering of molecular formulas obtained by accurate mass spectrometry
Background: Structure elucidation of unknown small molecules by mass spectrometry is a challenge despite advances in instrumentation. The first crucial step is to obtain correct e...
Tobias Kind, Oliver Fiehn
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