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» On the Learnability of Vector Spaces
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BMCBI
2008
114views more  BMCBI 2008»
13 years 8 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
BMCBI
2010
123views more  BMCBI 2010»
13 years 8 months ago
An improved classification of G-protein-coupled receptors using sequence-derived features
Background: G-protein-coupled receptors (GPCRs) play a key role in diverse physiological processes and are the targets of almost two-thirds of the marketed drugs. The 3 D structur...
Zhen-Ling Peng, Jian-Yi Yang, Xin Chen
BMCBI
2008
228views more  BMCBI 2008»
13 years 8 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
BMCBI
2008
89views more  BMCBI 2008»
13 years 8 months ago
Increasing the efficiency of bacterial transcription simulations: When to exclude the genome without loss of accuracy
Background: Simulating the major molecular events inside an Escherichia coli cell can lead to a very large number of reactions that compose its overall behaviour. Not only should ...
Marco A. J. Iafolla, Guang Qiang Dong, David R. Mc...
CLEIEJ
2008
97views more  CLEIEJ 2008»
13 years 8 months ago
A finite bidimensional wavelet framework for computer graphics: Image equalization
A lot of material has been written about wavelet theory. Most of these texts provide an elegant framework from the functional and real analysis point of view. The complete infinit...
Francisco Jose Benavides Murillo, Edgar Benavides ...