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» Disparate data fusion for protein phosphorylation prediction
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PRIB
2009
Springer
209views Bioinformatics» more  PRIB 2009»
13 years 11 months ago
Class Prediction from Disparate Biological Data Sources Using an Iterative Multi-Kernel Algorithm
For many biomedical modelling tasks a number of different types of data may influence predictions made by the model. An established approach to pursuing supervised learning with ...
Yiming Ying, Colin Campbell, Theodoros Damoulas, M...
CSB
2002
IEEE
230views Bioinformatics» more  CSB 2002»
13 years 10 months ago
Prediction of Protein Function Using Protein-Protein Interaction Data
Assigning functions to novel proteins is one of the most important problems in the post-genomic era. Several approaches have been applied to this problem, including analyzing gene...
Minghua Deng, Kui Zhang, Shipra Mehta, Ting Chen, ...
BMCBI
2004
174views more  BMCBI 2004»
13 years 5 months ago
Implications for domain fusion protein-protein interactions based on structural information
Background: Several in silico methods exist that were developed to predict protein interactions from the copious amount of genomic and proteomic data. One of these methods is Doma...
Jer-Ming Chia, Prasanna R. Kolatkar
NAR
2011
225views Computer Vision» more  NAR 2011»
12 years 8 months ago
PHOSIDA 2011: the posttranslational modification database
The primary purpose of PHOSIDA (http://www .phosida.com) is to manage posttranslational modification sites of various species ranging from bacteria to human. Since its last report...
Florian Gnad, Jeremy Gunawardena, Matthias Mann 00...