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GRC
2010
IEEE
13 years 10 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Lili Zhang, Erzsébet Merényi
BMCBI
2010
89views more  BMCBI 2010»
13 years 9 months ago
Predictors of natively unfolded proteins: unanimous consensus score to detect a twilight zone between order and disorder in gene
Background: Natively unfolded proteins lack a well defined three dimensional structure but have important biological functions, suggesting a re-assignment of the structure-functio...
Antonio Deiana, Andrea Giansanti
BMCBI
2010
111views more  BMCBI 2010»
13 years 9 months ago
Protein sequences classification by means of feature extraction with substitution matrices
Background: This paper deals with the preprocessing of protein sequences for supervised classification. Motif extraction is one way to address that task. It has been largely used ...
Rabie Saidi, Mondher Maddouri, Engelbert Mephu Ngu...
BMCBI
2010
134views more  BMCBI 2010»
13 years 9 months ago
Semi-automated screening of biomedical citations for systematic reviews
Background: Systematic reviews address a specific clinical question by unbiasedly assessing and analyzing the pertinent literature. Citation screening is a time-consuming and crit...
Byron C. Wallace, Thomas A. Trikalinos, Joseph Lau...
BMCBI
2008
114views more  BMCBI 2008»
13 years 9 months ago
Visualizing and clustering high throughput sub-cellular localization imaging
Background: The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of imag...
Nicholas A. Hamilton, Rohan D. Teasdale