Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A statistical framework for the design of microarray experiments and
  effective detection of differential gene expression   Four reasons why you might wish to read this paper: 1. We have devised a new
statistical T test to determine differentially expressed genes (DEG) in the
context of microarray experiments. This statistical test adds a new member to
the traditional T-test family. 2. An exact formula for calculating the
detection power of this T test is presented, which can also be fairly easily
modified to cover the traditional T tests. 3. We have presented an accurate yet
computationally very simple method to estimate the fraction of non-DEGs in a
set of genes being tested. This method is superior to an existing one which is
computationally much involved. 4. We approach the multiple testing problem from
a fresh angle, and discuss its relation to the classical Bonferroni procedure
and to the FDR (false discovery rate) approach. This is most useful in the
analysis of microarray data, where typically several thousands of genes are
being tested simultaneously.

19
The categories of this paper are: eess
36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
37
The categories of this paper are: supr-con
21
The categories of this paper are: adap-org
15
The categories of this paper are: nucl-ex
24
The categories of this paper are: dg-ga
23
The categories of this paper are: solv-int
34
The categories of this paper are: chem-ph
12
The categories of this paper are: nucl-th
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol