Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Microarrays, Empirical Bayes and the Two-Groups Model   The classic frequentist theory of hypothesis testing developed by Neyman,
Pearson and Fisher has a claim to being the twentieth century's most
influential piece of applied mathematics. Something new is happening in the
twenty-first century: high-throughput devices, such as microarrays, routinely
require simultaneous hypothesis tests for thousands of individual cases, not at
all what the classical theory had in mind. In these situations empirical Bayes
information begins to force itself upon frequentists and Bayesians alike. The
two-groups model is a simple Bayesian construction that facilitates empirical
Bayes analysis. This article concerns the interplay of Bayesian and frequentist
ideas in the two-groups setting, with particular attention focused on Benjamini
and Hochberg's False Discovery Rate method. Topics include the choice and
meaning of the null hypothesis in large-scale testing situations, power
considerations, the limitations of permutation methods, significance testing
for groups of cases (such as pathways in microarray studies), correlation
effects, multiple confidence intervals and Bayesian competitors to the
two-groups model.

15
The categories of this paper are: nucl-ex
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
25
The categories of this paper are: patt-sol
19
The categories of this paper are: eess
30
The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
9
The categories of this paper are: nlin
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
37
The categories of this paper are: supr-con
13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
20
The categories of this paper are: acc-phys
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The categories of this paper are: hep-lat