Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A two-sample test for high-dimensional data with applications to
  gene-set testing   We propose a two-sample test for the means of high-dimensional data when the
data dimension is much larger than the sample size. Hotelling's classical $T^2$
test does not work for this "large $p$, small $n$" situation. The proposed test
does not require explicit conditions in the relationship between the data
dimension and sample size. This offers much flexibility in analyzing
high-dimensional data. An application of the proposed test is in testing
significance for sets of genes which we demonstrate in an empirical study on a
leukemia data set.

3
The categories of this paper are: physics
37
The categories of this paper are: supr-con
18
The categories of this paper are: econ
20
The categories of this paper are: acc-phys
13
The categories of this paper are: quant-ph
9
The categories of this paper are: nlin
32
The categories of this paper are: atom-ph
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
0
The categories of this paper are: hep-ph
8
The categories of this paper are: hep-ex
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg