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» Detecting microRNA activity from gene expression data
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179
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BMCBI
2008
149views more  BMCBI 2008»
15 years 2 months ago
MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data
Background: Recent advances in global genomic profiling methodologies have enabled multidimensional characterization of biological systems. Complete analysis of these genomic prof...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Raym...
124
Voted
ALMOB
2008
93views more  ALMOB 2008»
15 years 3 months ago
A weighted average difference method for detecting differentially expressed genes from microarray data
Background: Identification of differentially expressed genes (DEGs) under different experimental conditions is an important task in many microarray studies. However, choosing whic...
Koji Kadota, Yuji Nakai, Kentaro Shimizu
99
Voted
ECCB
2003
IEEE
15 years 9 months ago
Extracting active pathways from gene expression data
Jean-Philippe Vert, Minoru Kanehisa
BMCBI
2006
186views more  BMCBI 2006»
15 years 3 months ago
Systematic gene function prediction from gene expression data by using a fuzzy nearest-cluster method
Background: Quantitative simultaneous monitoring of the expression levels of thousands of genes under various experimental conditions is now possible using microarray experiments....
Xiaoli Li, Yin-Chet Tan, See-Kiong Ng
135
Voted
BICOB
2010
Springer
15 years 3 months ago
Integrative Biomarker Discovery for Breast Cancer Metastasis from Gene Expression and Protein Interaction Data Using Error-toler
Biomarker discovery for complex diseases is a challenging problem. Most of the existing approaches identify individual genes as disease markers, thereby missing the interactions a...
Rohit Gupta, Smita Agrawal, Navneet Rao, Ze Tian, ...