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» Obtaining Best Parameter Values for Accurate Classification
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157
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BMCBI
2004
176views more  BMCBI 2004»
15 years 3 months ago
Boosting accuracy of automated classification of fluorescence microscope images for location proteomics
Background: Detailed knowledge of the subcellular location of each expressed protein is critical to a full understanding of its function. Fluorescence microscopy, in combination w...
Kai Huang, Robert F. Murphy
175
Voted
BMCBI
2011
14 years 7 months ago
AMDORAP: Non-targeted metabolic profiling based on high-resolution LC-MS
Background: Liquid chromatography-mass spectrometry (LC-MS) utilizing the high-resolution power of an orbitrap is an important analytical technique for both metabolomics and prote...
Hiroki Takahashi, Takuya Morimoto, Naotake Ogasawa...
148
Voted
BMCBI
2008
116views more  BMCBI 2008»
15 years 3 months ago
Impact of residue accessible surface area on the prediction of protein secondary structures
Background: The problem of accurate prediction of protein secondary structure continues to be one of the challenging problems in Bioinformatics. It has been previously suggested t...
Amir Momen-Roknabadi, Mehdi Sadeghi, Hamid Pezeshk...
145
Voted
AMAI
2004
Springer
15 years 9 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
151
Voted
BMCBI
2007
112views more  BMCBI 2007»
15 years 3 months ago
Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...