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» Ensemble of Linear Models for Predicting Drug Properties
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BIOSYSTEMS
2008
107views more  BIOSYSTEMS 2008»
13 years 6 months ago
The linearity of emergent spectro-temporal receptive fields in a model of auditory cortex
The responses of cortical neurons are often characterized by measuring their spectro-temporal receptive fields (strfs). The strf of a cell can be thought of as a representation of...
Martin Coath, Emili Balaguer-Ballester, Sue L. Den...
JCC
2007
82views more  JCC 2007»
13 years 6 months ago
Peptide reagent design based on physical and chemical properties of amino acid residues
: It has tremendous values for both drug discovery and basic research to develop a solid bioinformatical tool for guiding peptide reagent design. Based on the physical and chemical...
Qishi Du, Ri-Bo Huang, Yu-Tuo Wei, Cheng-Hua Wang,...
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
13 years 10 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
BMCBI
2008
92views more  BMCBI 2008»
13 years 6 months ago
Proteochemometric modeling of HIV protease susceptibility
Background: A major obstacle in treatment of HIV is the ability of the virus to mutate rapidly into drug-resistant variants. A method for predicting the susceptibility of mutated ...
Maris Lapinsh, Martin Eklund, Ola Spjuth, Peteris ...
BMCBI
2010
120views more  BMCBI 2010»
13 years 6 months ago
KiDoQ: using docking based energy scores to develop ligand based model for predicting antibacterials
Background: Identification of novel drug targets and their inhibitors is a major challenge in the field of drug designing and development. Diaminopimelic acid (DAP) pathway is a u...
Aarti Garg, Rupinder Tewari, Gajendra P. S. Raghav...