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» Unfolding of Microarray Data
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BMCBI
2010
167views more  BMCBI 2010»
13 years 8 months ago
Bi-directional gene set enrichment and canonical correlation analysis identify key diet-sensitive pathways and biomarkers of met
Background: Currently, a number of bioinformatics methods are available to generate appropriate lists of genes from a microarray experiment. While these lists represent an accurat...
Melissa J. Morine, Jolene McMonagle, Sinead Toomey...
BMCBI
2007
197views more  BMCBI 2007»
13 years 8 months ago
Boolean networks using the chi-square test for inferring large-scale gene regulatory networks
Background: Boolean network (BN) modeling is a commonly used method for constructing gene regulatory networks from time series microarray data. However, its major drawback is that...
Haseong Kim, Jae K. Lee, Taesung Park
BMCBI
2008
136views more  BMCBI 2008»
13 years 8 months ago
Allowing for mandatory covariates in boosting estimation of sparse high-dimensional survival models
Background: When predictive survival models are built from high-dimensional data, there are often additional covariates, such as clinical scores, that by all means have to be incl...
Harald Binder, Martin Schumacher
BMCBI
2006
108views more  BMCBI 2006»
13 years 8 months ago
Probe set algorithms: is there a rational best bet?
Affymetrix microarrays have become a standard experimental platform for studies of mRNA expression profiling. Their success is due, in part, to the multiple oligonucleotide featur...
Jinwook Seo, Eric P. Hoffman
BMCBI
2004
142views more  BMCBI 2004»
13 years 7 months ago
GOTree Machine (GOTM): a web-based platform for interpreting sets of interesting genes using Gene Ontology hierarchies
Background: Microarray and other high-throughput technologies are producing large sets of interesting genes that are difficult to analyze directly. Bioinformatics tools are needed...
Bing Zhang, Denise Schmoyer, Stefan Kirov, Jay Sno...