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2007
13 years 9 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
BMCBI
2008
228views more  BMCBI 2008»
13 years 7 months ago
Adaptive diffusion kernel learning from biological networks for protein function prediction
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Liang Sun, Shuiwang Ji, Jieping Ye
BMCBI
2007
122views more  BMCBI 2007»
13 years 7 months ago
TAP score: torsion angle propensity normalization applied to local protein structure evaluation
Background: Experimentally determined protein structures may contain errors and require validation. Conformational criteria based on the Ramachandran plot are mainly used to disti...
Silvio C. E. Tosatto, Roberto Battistutta
BMCBI
2010
160views more  BMCBI 2010»
13 years 7 months ago
Annotation of gene promoters by integrative data-mining of ChIP-seq Pol-II enrichment data
Background: Use of alternative gene promoters that drive widespread cell-type, tissue-type or developmental gene regulation in mammalian genomes is a common phenomenon. Chromatin ...
Ravi Gupta, Priyankara Wikramasinghe, Anirban Bhat...
ISSA
2004
13 years 9 months ago
Are Current B2b Security Standards Antithetical To Global Interoperability?
This paper argues that powerful impetus exists for the realisation of a global multilateral electronic market infrastructure, as envisaged by the ebXML1 endeavour. Crucial in this...
Maree Pather