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BMCBI
2004
150views more  BMCBI 2004»
13 years 7 months ago
Graph-based iterative Group Analysis enhances microarray interpretation
Background: One of the most time-consuming tasks after performing a gene expression experiment is the biological interpretation of the results by identifying physiologically impor...
Rainer Breitling, Anna Amtmann, Pawel Herzyk
BMCBI
2004
180views more  BMCBI 2004»
13 years 7 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
2004
96views more  BMCBI 2004»
13 years 7 months ago
A hybrid clustering approach to recognition of protein families in 114 microbial genomes
Background: Grouping proteins into sequence-based clusters is a fundamental step in many bioinformatic analyses (e.g., homology-based prediction of structure or function). Standar...
Timothy J. Harlow, J. Peter Gogarten, Mark A. Raga...
BMCBI
2004
106views more  BMCBI 2004»
13 years 7 months ago
ESTIMA, a tool for EST management in a multi-project environment
Background: Single-pass, partial sequencing of complementary DNA (cDNA) libraries generates thousands of chromatograms that are processed into high quality expressed sequence tags...
Charu G. Kumar, Richard LeDuc, George Gong, Levan ...
BMCBI
2004
117views more  BMCBI 2004»
13 years 7 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
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