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» Scalable, updatable predictive models for sequence data
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BMCBI
2007
83views more  BMCBI 2007»
15 years 17 days ago
Identification of sequence motifs significantly associated with antisense activity
Background: Predicting the suppression activity of antisense oligonucleotide sequences is the main goal of the rational design of nucleic acids. To create an effective predictive ...
Kyle A. McQuisten, Andrew S. Peek
DAWAK
2005
Springer
15 years 6 months ago
Using Schema Transformation Pathways for Incremental View Maintenance
In heterogeneous data warehousing environments, autonomous data sources are integrated into a materialized integrated database. The schemas of the data sources and the integrated ...
Hao Fan
97
Voted
SASO
2007
IEEE
15 years 6 months ago
Novel Mathematics-Inspired Algorithms for Self-Adaptive Peer-to-Peer Computing
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
Steven Y. Ko, Indranil Gupta, Yookyung Jo
BIBM
2008
IEEE
175views Bioinformatics» more  BIBM 2008»
15 years 7 months ago
Integrative Protein Function Transfer Using Factor Graphs and Heterogeneous Data Sources
We propose a novel approach for predicting protein functions of an organism by coupling sequence homology and PPI data between two (or more) species with multifunctional Gene Onto...
Antonina Mitrofanova, Vladimir Pavlovic, Bud Mishr...
KDD
2009
ACM
210views Data Mining» more  KDD 2009»
16 years 1 months ago
Large-scale behavioral targeting
Behavioral targeting (BT) leverages historical user behavior to select the ads most relevant to users to display. The state-of-the-art of BT derives a linear Poisson regression mo...
Ye Chen, Dmitry Pavlov, John F. Canny