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BMCBI
2011
14 years 10 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
CC
2009
Springer
106views System Software» more  CC 2009»
16 years 1 months ago
Blind Optimization for Exploiting Hardware Features
Software systems typically exploit only a small fraction of the realizable performance from the underlying microprocessors. While there has been much work on hardware-aware optimiz...
Dan Knights, Todd Mytkowicz, Peter F. Sweeney, Mic...
BMCBI
2010
103views more  BMCBI 2010»
15 years 6 months ago
Predicting the protein-protein interactions using primary structures with predicted protein surface
Background: Many biological functions involve various protein-protein interactions (PPIs). Elucidating such interactions is crucial for understanding general principles of cellula...
Darby Tien-Hao Chang, Yu-Tang Syu, Po-Chang Lin
IPPS
2010
IEEE
15 years 4 months ago
PreDatA - preparatory data analytics on peta-scale machines
Peta-scale scientific applications running on High End Computing (HEC) platforms can generate large volumes of data. For high performance storage and in order to be useful to scien...
Fang Zheng, Hasan Abbasi, Ciprian Docan, Jay F. Lo...
KDD
2009
ACM
189views Data Mining» more  KDD 2009»
16 years 1 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...