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» A Method for Similarity-Based Grouping of Biological Data
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BMCBI
2010
99views more  BMCBI 2010»
14 years 9 months ago
A statistical method for excluding non-variable CpG sites in high-throughput DNA methylation profiling
Background: High-throughput DNA methylation arrays are likely to accelerate the pace of methylation biomarker discovery for a wide variety of diseases. A potential problem with a ...
Hailong Meng, Andrew R. Joyce, Daniel E. Adkins, P...
BMCBI
2007
185views more  BMCBI 2007»
14 years 9 months ago
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data
Background: Several mathematical and statistical methods have been proposed in the last few years to analyze microarray data. Most of those methods involve complicated formulas, a...
André Fujita, João Ricardo Sato, Car...
BMCBI
2006
86views more  BMCBI 2006»
14 years 9 months ago
The impact of sample imbalance on identifying differentially expressed genes
Background: Recently several statistical methods have been proposed to identify genes with differential expression between two conditions. However, very few studies consider the p...
Kun Yang, Jianzhong Li, Hong Gao
BMCBI
2010
195views more  BMCBI 2010»
14 years 4 months ago
MBAT: A scalable informatics system for unifying digital atlasing workflows
Background: Digital atlases provide a common semantic and spatial coordinate system that can be leveraged to compare, contrast, and correlate data from disparate sources. As the q...
Daren Lee, Seth Ruffins, Queenie Ng, Nikhil Sane, ...
BMCBI
2007
126views more  BMCBI 2007»
14 years 9 months ago
Including probe-level uncertainty in model-based gene expression clustering
Background: Clustering is an important analysis performed on microarray gene expression data since it groups genes which have similar expression patterns and enables the explorati...
Xuejun Liu, Kevin K. Lin, Bogi Andersen, Magnus Ra...