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» Closed Set Mining of Biological Data
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BMCBI
2011
12 years 11 months ago
To aggregate or not to aggregate high-dimensional classifiers
Background: High-throughput functional genomics technologies generate large amount of data with hundreds or thousands of measurements per sample. The number of sample is usually m...
Cheng-Jian Xu, Huub C. J. Hoefsloot, Age K. Smilde
KDD
2009
ACM
178views Data Mining» more  KDD 2009»
14 years 8 months ago
Constrained optimization for validation-guided conditional random field learning
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...
Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E...
GCB
2007
Springer
161views Biometrics» more  GCB 2007»
14 years 1 months ago
High-Precision Function Prediction using Conserved Interactions
: The recent availability of large data sets of protein- protein-interactions (PPIs) from various species offers new opportunities for functional genomics and proteomics. We descri...
Samira Jaeger, Ulf Leser
BMCBI
2010
125views more  BMCBI 2010»
13 years 7 months ago
In-silico prediction of blood-secretory human proteins using a ranking algorithm
Background: Computational identification of blood-secretory proteins, especially proteins with differentially expressed genes in diseased tissues, can provide highly useful inform...
Qi Liu, Juan Cui, Qiang Yang, Ying Xu
FLAIRS
2006
13 years 9 months ago
Inexact Graph Matching: A Case of Study
Inexact graph matching has become an important research area because it is used to find similarities among objects in several real domains such as chemical and biological compound...
Ivan Olmos, Jesus A. Gonzalez, Mauricio Osorio