Simple Bayesian binary framework for discovering significant genes and classifying cancer diagnosis
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Publication:961344
DOI10.1016/j.csda.2008.04.008zbMath1453.62256OpenAlexW1971036261MaRDI QIDQ961344
Publication date: 30 March 2010
Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.csda.2008.04.008
Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Protein sequences, DNA sequences (92D20)
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Cites Work
- An extensive comparison of recent classification tools applied to microarray data
- Significance analysis of microarrays applied to the ionizing radiation response
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression Data
- Bayesian analysis of binary prediction tree models for retrospectively sampled outcomes
- Classifying Gene Expression Profiles from Pairwise mRNA Comparisons
- Classification of gene microarrays by penalized logistic regression
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