Sciweavers

MLMTA
2007

Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator

13 years 5 months ago
Prediction of Protein Secondary Structures with a Novel Kernel Density Estimator
- Though prediction of protein secondary structures has been an active research issue in bioinformatics for quite a few years and many approaches have been proposed, a new challenge emerges as the sizes of contemporary protein structure databases such as the Protein Data Bank (PDB) continue to grow exponentially. The new challenge concerns how to effectively exploit the huge amount of structural information deposited in large protein structure databases and deliver ever-improving accuracy as the sizes of the databases continue to grow. This new challenge is addressed in this article by resorting to a kernel density estimation based approach. The kernel density estimator proposed in this article is distinctive in that the pointwise MSE (mean square error) of its basic form converges at O(n-2/3 ) regardless of the dimension of the vector space, where n is the number of instances in the training dataset. In addition, just like many conventional kernel density estimators, it features avera...
Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou, Ha
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2007
Where MLMTA
Authors Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou, Hao-Geng Hung, Chien-Yu Chen
Comments (0)