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BMCBI
2010
123views more  BMCBI 2010»
8 years 10 months ago
Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context
Background: Different microarray studies have compiled gene lists for predicting outcomes of a range of treatments and diseases. These have produced gene lists that have little ov...
Gad Abraham, Adam Kowalczyk, Sherene Loi, Izhak Ha...
BMCBI
2010
115views more  BMCBI 2010»
8 years 10 months ago
Multiconstrained gene clustering based on generalized projections
Background: Gene clustering for annotating gene functions is one of the fundamental issues in bioinformatics. The best clustering solution is often regularized by multiple constra...
Jia Zeng, Shanfeng Zhu, Alan Wee-Chung Liew, Hong ...
BMCBI
2010
100views more  BMCBI 2010»
8 years 10 months ago
Gene set enrichment meta-learning analysis: next- generation sequencing versus microarrays
Background: Reproducibility of results can have a significant impact on the acceptance of new technologies in gene
Gregor Stiglic, Mateja Bajgot, Peter Kokol
BMCBI
2010
132views more  BMCBI 2010»
8 years 10 months ago
Error margin analysis for feature gene extraction
Background: Feature gene extraction is a fundamental issue in microarray-based biomarker discovery. It is normally treated as an optimization problem of finding the best predictiv...
Chi Kin Chow, Hai Long Zhu, Jessica Lacy, Winston ...
BMCBI
2010
161views more  BMCBI 2010»
8 years 10 months ago
GeneMesh: a web-based microarray analysis tool for relating differentially expressed genes to MeSH terms
Background: An important objective of DNA microarray-based gene expression experimentation is determining interrelationships that exist between differentially expressed genes and ...
Saurin D. Jani, Gary L. Argraves, Jeremy L. Barth,...
BMCBI
2010
112views more  BMCBI 2010»
8 years 10 months ago
PhenoFam-gene set enrichment analysis through protein structural information
Background: With the current technological advances in high-throughput biology, the necessity to develop tools that help to analyse the massive amount of data being generated is e...
Maciej Paszkowski-Rogacz, Mikolaj Slabicki, M. Ter...
BIOINFORMATICS
2007
137views more  BIOINFORMATICS 2007»
8 years 10 months ago
Annotation-based distance measures for patient subgroup discovery in clinical microarray studies
: Background Clustering algorithms are widely used in the analysis of microarray data. In clinical studies, they are often applied to find groups of co-regulated genes. Clustering...
Claudio Lottaz, Joern Toedling, Rainer Spang
BIB
2008
75views more  BIB 2008»
8 years 10 months ago
Gene-set approach for expression pattern analysis
Recently developed gene set analysis methods evaluate differential expression patterns of gene groups instead of those of individual genes. This approach especially targets gene g...
Dougu Nam, Seon-Young Kim
BIB
2007
59views more  BIB 2007»
8 years 10 months ago
Statistically designing microarrays and microarray experiments to enhance sensitivity and specificity
Gene expression signatures from microarray experiments promise to provide important prognostic tools for predicting disease outcome or response to treatment. A number of microarra...
Jason C. Hsu, Jane Chang, Tao Wang, Eiríkur...
ISMB
1993
8 years 11 months ago
Knowledge Discovery in GENBANK
Wedescribe various methods designed to discover knowledge in the GenBanknucleic acid sequence database. Using a grammatical model of gene structure, we create a parse tree of a ge...
Jeffery S. Aaronson, Juergen Haas, G. Christian Ov...
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