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» Scalable, updatable predictive models for sequence data
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BIBM
2010
IEEE
139views Bioinformatics» more  BIBM 2010»
13 years 1 months ago
Scalable, updatable predictive models for sequence data
The emergence of data rich domains has led to an exponential growth in the size and number of data repositories, offering exciting opportunities to learn from the data using machin...
Neeraj Koul, Ngot Bui, Vasant Honavar
IDEAL
2005
Springer
13 years 10 months ago
Exploiting Sequence Dependencies in the Prediction of Peroxisomal Proteins
Prediction of peroxisomal matrix proteins generally depends on the presence of one of two distinct motifs at the end of the amino acid sequence. PTS1 peroxisomal proteins have a we...
Mark Wakabayashi, John Hawkins, Stefan Maetschke, ...
NAR
2006
170views more  NAR 2006»
13 years 4 months ago
The UCSC Genome Browser Database: update 2006
The University of California Santa Cruz Genome Browser Database (GBD) contains sequence and annotation data for the genomes of about a dozen vertebrate species and several major m...
Angela S. Hinrichs, Donna Karolchik, Robert Baerts...
ICIP
2005
IEEE
14 years 6 months ago
Combining MCTF with distributed source coding
Motion Compensated Temporal Filtering (MCTF) has proved to be an efficient coding tool in the design of open-loop scalable video codecs. In this paper we propose a MCTF video codi...
Marco Tagliasacchi, Stefano Tubaro, Augusto Sarti
JSSPP
2005
Springer
13 years 10 months ago
ScoPred-Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Data
Using historical information to predict future runs of parallel jobs has shown to be valuable in job scheduling. Trends toward more flexible jobscheduling techniques such as adapt...
Benjamin J. Lafreniere, Angela C. Sodan