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» The Predictability of Data Values
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209
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BMCBI
2008
112views more  BMCBI 2008»
15 years 7 months ago
Predicting the Interactome of Xanthomonas oryzae pathovar oryzae for target selection and DB service
Background: Protein-protein interactions (PPIs) play key roles in various cellular functions. In addition, some critical inter-species interactions such as host-pathogen interacti...
Jeong-Gu Kim, Daeui Park, Byoung-Chul Kim, Seong-W...
BMCBI
2007
127views more  BMCBI 2007»
15 years 6 months ago
Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
Background: Human genetic variations primarily result from single nucleotide polymorphisms (SNPs) that occur approximately every 1000 bases in the overall human population. The no...
Jian Tian, Ningfeng Wu, Xuexia Guo, Jun Guo, Juhua...
195
Voted
BMCBI
2007
86views more  BMCBI 2007»
15 years 6 months ago
Tandem mass spectrometry data quality assessment by self-convolution
Background: Many algorithms have been developed for deciphering the tandem mass spectrometry (MS) data sets. They can be essentially clustered into two classes. The first performs...
Keng Wah Choo, Wai Mun Tham
KDD
2012
ACM
238views Data Mining» more  KDD 2012»
13 years 9 months ago
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data
Incomplete data present serious problems when integrating largescale brain imaging data sets from different imaging modalities. In the Alzheimer’s Disease Neuroimaging Initiativ...
Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A....
204
Voted
BMCBI
2010
154views more  BMCBI 2010»
15 years 7 months ago
An eScience-Bayes strategy for analyzing omics data
Background: The omics fields promise to revolutionize our understanding of biology and biomedicine. However, their potential is compromised by the challenge to analyze the huge da...
Martin Eklund, Ola Spjuth, Jarl E. S. Wikberg