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IPPS
2008
IEEE
16 years 25 days ago
Adaptive Locality-Effective Kernel Machine for protein phosphorylation site prediction
In this study, we propose a new machine learning model namely, Adaptive Locality-Effective Kernel Machine (Adaptive-LEKM) for protein phosphorylation site prediction. Adaptive-LEK...
Paul D. Yoo, Yung Shwen Ho, Bing Bing Zhou, Albert...
AFRIGRAPH
2006
ACM
16 years 12 days ago
Cost prediction for global illumination using a fast rasterised scene preview
The media industry is demanding increasing fidelity for their rendered images. Despite the advent of modern GPUs, the computational requirements of physically based global illumi...
Richard Gillibrand, Peter Longhurst, Kurt Debattis...
CSB
2005
IEEE
143views Bioinformatics» more  CSB 2005»
16 years 1 days ago
Analysis of four different sets of predictive features for metalloproteins
Metals bound to the protein are important for functional or structural roles. Despite their importance there is a distinct lack of research for identification of metalloproteins f...
Huseyin Seker, Parvez I. Haris
PKDD
2005
Springer
164views Data Mining» more  PKDD 2005»
15 years 12 months ago
Clustering and Prediction of Mobile User Routes from Cellular Data
Location-awareness and prediction of future locations is an important problem in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily availabl...
Kari Laasonen
CSB
2002
IEEE
230views Bioinformatics» more  CSB 2002»
15 years 11 months ago
Prediction of Protein Function Using Protein-Protein Interaction Data
Assigning functions to novel proteins is one of the most important problems in the post-genomic era. Several approaches have been applied to this problem, including analyzing gene...
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, ...