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BMCBI
2004
180views more  BMCBI 2004»
13 years 5 months ago
Noise filtering and nonparametric analysis of microarray data underscores discriminating markers of oral, prostate, lung, ovaria
Background: A major goal of cancer research is to identify discrete biomarkers that specifically characterize a given malignancy. These markers are useful in diagnosis, may identi...
Virginie M. Aris, Michael J. Cody, Jeff Cheng, Jam...
BMCBI
2010
136views more  BMCBI 2010»
13 years 5 months ago
An integrated Bayesian analysis of LOH and copy number data
Background: Cancer and other disorders are due to genomic lesions. SNP-microarrays are able to measure simultaneously both genotype and copy number (CN) at several Single Nucleoti...
Paola M. V. Rancoita, Marcus Hutter, Francesco Ber...
BMCBI
2007
147views more  BMCBI 2007»
13 years 5 months ago
Statistical significance of quantitative PCR
Background: PCR has the potential to detect and precisely quantify specific DNA sequences, but it is not yet often used as a fully quantitative method. A number of data collection...
Yann Karlen, Alan McNair, Sébastien Persegu...
BMCBI
2005
246views more  BMCBI 2005»
13 years 5 months ago
ParPEST: a pipeline for EST data analysis based on parallel computing
Background: Expressed Sequence Tags (ESTs) are short and error-prone DNA sequences generated from the 5' and 3' ends of randomly selected cDNA clones. They provide an im...
Nunzio D'Agostino, Mario Aversano, Maria Luisa Chi...
BMCBI
2010
161views more  BMCBI 2010»
13 years 5 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,...