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» A Machine-Learning Strategy for Protein Analysis
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BMCBI
2010
154views more  BMCBI 2010»
14 years 10 months ago
Candidate gene prioritization by network analysis of differential expression using machine learning approaches
Background: Discovering novel disease genes is still challenging for diseases for which no prior knowledge - such as known disease genes or disease-related pathways - is available...
Daniela Nitsch, Joana P. Gonçalves, Fabian ...
BMCBI
2010
208views more  BMCBI 2010»
14 years 10 months ago
Using machine learning to speed up manual image annotation: application to a 3D imaging protocol for measuring single cell gene
Background: Image analysis is an essential component in many biological experiments that study gene expression, cell cycle progression, and protein localization. A protocol for tr...
Zafer Aydin, John I. Murray, Robert H. Waterston, ...
BMCBI
2008
220views more  BMCBI 2008»
14 years 10 months ago
Gene prediction in metagenomic fragments: A large scale machine learning approach
Background: Metagenomics is an approach to the characterization of microbial genomes via the direct isolation of genomic sequences from the environment without prior cultivation. ...
Katharina J. Hoff, Maike Tech, Thomas Lingner, Rol...
ICALT
2007
IEEE
15 years 4 months ago
Mathematical Working Environments for the Blind: What is Needed Now?
Blind people encounter great difficulties in dealing with Mathematics. Based on an analysis of these problems, we shall outline possible strategies to overcome them through softwa...
Dominique Archambault, Bernhard Stöger
ICML
2005
IEEE
15 years 10 months ago
New kernels for protein structural motif discovery and function classification
We present new, general-purpose kernels for protein structure analysis, and describe how to apply them to structural motif discovery and function classification. Experiments show ...
Chang Wang, Stephen D. Scott