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» Modeling Microarray Data: Interpreting and communicating the...
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BMCBI
2007
126views more  BMCBI 2007»
14 years 10 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...
BMCBI
2006
156views more  BMCBI 2006»
14 years 10 months ago
GOFFA: Gene Ontology For Functional Analysis - A FDA Gene Ontology Tool for Analysis of Genomic and Proteomic Data
Background: Gene Ontology (GO) characterizes and categorizes the functions of genes and their products according to biological processes, molecular functions and cellular componen...
Hongmei Sun, Hong Fang, Tao Chen, Roger Perkins, W...
BMCBI
2010
50views more  BMCBI 2010»
14 years 10 months ago
Scanner calibration revisited
Background: Calibration of a microarray scanner is critical for accurate interpretation of microarray results. Shi et al. (BMC Bioinformatics, 2005, 6, Art. No. S11 Suppl. 2.) rep...
Alexander E. Pozhitkov
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
15 years 3 months ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
BMCBI
2006
97views more  BMCBI 2006»
14 years 10 months ago
Goulphar: rapid access and expertise for standard two-color microarray normalization methods
Background: Raw data normalization is a critical step in microarray data analysis because it directly affects data interpretation. Most of the normalization methods currently used...
Sophie Lemoine, Florence Combes, Nicolas Servant, ...