Abstract
Bagging and subagging procedures are put forth with the purpose of improving the discovery power in the context of large-scale simultaneous hypothesis testing. Bagging and subagging significantly improve discovery power at the cost of a small increase in false discovery rate with ‘maximum contrast’ subagging having an edge over bagging, i.e., yielding similar power but significantly smaller false discovery rates. The proposed procedures are implemented in a situation involving a well known dataset on gene expressions related to prostate cancer.
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Politis, D.N. (2008). Bagging Multiple Comparisons from Microarray Data. In: Măndoiu, I., Sunderraman, R., Zelikovsky, A. (eds) Bioinformatics Research and Applications. ISBRA 2008. Lecture Notes in Computer Science(), vol 4983. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79450-9_46
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DOI: https://doi.org/10.1007/978-3-540-79450-9_46
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