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BMCBI
2007
125views more  BMCBI 2007»
14 years 10 months ago
Bayesian meta-analysis models for microarray data: a comparative study
Background: With the growing abundance of microarray data, statistical methods are increasingly needed to integrate results across studies. Two common approaches for meta-analysis...
Erin M. Conlon, Joon J. Song, Anna Liu
BIB
2007
53views more  BIB 2007»
14 years 10 months ago
Current Progress in computational metabolomics
Being a relatively new addition to the ‘omics’ field, metabolomics is still evolving its own computational infrastructure and assessing its own computational needs. Due to its...
David S. Wishart
DMKD
2004
ACM
127views Data Mining» more  DMKD 2004»
15 years 3 months ago
Discovering spatial patterns accurately with effective noise removal
Cluster analysis is a common approach to pattern discovery in spatial databases. While many clustering techniques have been developed, it is still challenging to discover implicit...
Yu Qian, Kang Zhang
CIKM
2010
Springer
14 years 8 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
BMCBI
2010
125views more  BMCBI 2010»
14 years 10 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