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KDD
2008
ACM
213views Data Mining» more  KDD 2008»
16 years 5 days ago
Heterogeneous data fusion for alzheimer's disease study
Effective diagnosis of Alzheimer's disease (AD) is of primary importance in biomedical research. Recent studies have demonstrated that neuroimaging parameters are sensitive a...
Jieping Ye, Kewei Chen, Teresa Wu, Jing Li, Zheng ...
BMCBI
2005
190views more  BMCBI 2005»
14 years 11 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
BMCBI
2011
14 years 6 months ago
SNP-based pathway enrichment analysis for genome-wide association studies
Background: Recently we have witnessed a surge of interest in using genome-wide association studies (GWAS) to discover the genetic basis of complex diseases. Many genetic variatio...
Lingjie Weng, Fabio Macciardi, Aravind Subramanian...
BMCBI
2007
182views more  BMCBI 2007»
14 years 12 months ago
Additive risk survival model with microarray data
Background: Microarray techniques survey gene expressions on a global scale. Extensive biomedical studies have been designed to discover subsets of genes that are associated with ...
Shuangge Ma, Jian Huang
IJBRA
2006
59views more  IJBRA 2006»
14 years 11 months ago
Predicting altered pathways using extendable scaffolds
: Many diseases, especially solid tumors, involve the disruption or deregulation of cellular processes. Most current work using gene expression and other high-throughput data, simp...
B. M. Broom, T. J. McDonnell, D. Subramanian