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BMCBI
2008
102views more  BMCBI 2008»
15 years 4 months ago
Improving protein function prediction methods with integrated literature data
Background: Determining the function of uncharacterized proteins is a major challenge in the post-genomic era due to the problem's complexity and scale. Identifying a protein...
Aaron Gabow, Sonia M. Leach, William A. Baumgartne...
BMCBI
2005
121views more  BMCBI 2005»
15 years 4 months ago
Automated methods of predicting the function of biological sequences using GO and BLAST
Background: With the exponential increase in genomic sequence data there is a need to develop automated approaches to deducing the biological functions of novel sequences with hig...
Craig E. Jones, Ute Baumann, Alfred L. Brown
BMCBI
2010
122views more  BMCBI 2010»
14 years 11 months ago
Functional enrichment analyses and construction of functional similarity networks with high confidence function prediction by PF
Background: A new paradigm of biological investigation takes advantage of technologies that produce large high throughput datasets, including genome sequences, interactions of pro...
Troy Hawkins, Meghana Chitale, Daisuke Kihara
ICDE
2007
IEEE
173views Database» more  ICDE 2007»
16 years 5 months ago
Annotating Structured Data of the Deep Web
An increasing number of databases have become Web accessible through HTML form-based search interfaces. The data units returned from the underlying database are usually encoded in...
Yiyao Lu, Hai He, Hongkun Zhao, Weiyi Meng, Clemen...
ICASSP
2010
IEEE
15 years 4 months ago
Supervised topic model for automatic image annotation
This paper presents a new probabilistic model for the task of image annotation. Our model, which we call sLDA-bin, extends supervised Latent Dirichlet Allocation (sLDA) model to h...
Duangmanee Putthividhya, Hagai Thomas Attias, Srik...