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» Constructing minimum-interference networks
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125
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BMCBI
2010
118views more  BMCBI 2010»
15 years 3 months ago
Artificial neural networks for the prediction of peptide drift time in ion mobility mass spectrometry
Background: There is an increasing usage of ion mobility-mass spectrometry (IMMS) in proteomics. IMMS combines the features of ion mobility spectrometry (IMS) and mass spectrometr...
Bing Wang, Steve Valentine, Manolo Plasencia, Srir...
BMCBI
2008
104views more  BMCBI 2008»
15 years 3 months ago
InteroPORC: an automated tool to predict highly conserved protein interaction networks
teps. First, we abstracted protein interactions onto orthologous cluster links. For a given source interaction, if both proteins belonged to a cluster, we constructed a link betwee...
Magali Michaut, Samuel Kerrien, Luisa Montecchi-Pa...
COMCOM
2008
127views more  COMCOM 2008»
15 years 3 months ago
A dynamic routing protocol for keyword search in unstructured peer-to-peer networks
The idea of building query-oriented routing indices has changed the way of improving keyword search efficiency from the basis as it can learn the content distribution from the que...
Cong Shi, Dingyi Han, Yuanjie Liu, Shicong Meng, Y...
138
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CORR
2010
Springer
209views Education» more  CORR 2010»
15 years 3 months ago
An Algorithm to Extract Rules from Artificial Neural Networks for Medical Diagnosis Problems
Artificial neural networks (ANNs) have been successfully applied to solve a variety of classification and function approximation problems. Although ANNs can generally predict bett...
S. M. Kamruzzaman, Md. Monirul Islam
150
Voted
BMCBI
2006
105views more  BMCBI 2006»
15 years 3 months ago
CRNPRED: highly accurate prediction of one-dimensional protein structures by large-scale critical random networks
Background: One-dimensional protein structures such as secondary structures or contact numbers are useful for three-dimensional structure prediction and helpful for intuitive unde...
Akira R. Kinjo, Ken Nishikawa