Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Genomic Data Analysis using a Two Stage Expectation Propagation
  Algorithm for Analysis of Sparse Bayesian High-Dimensional Instrumental
  Variables Regression   Simultaneous analysis of gene expression data and genetic variants is highly
of interest, especially when the number of gene expressions and genetic
variants are both greater than the sample size. Association of both causal
genes and effective SNPs makes the use of sparse modeling of such genetic data
sets, highly important. The high-dimensional sparse instrumental variables
models are one of such useful association models, which models the simultaneous
relation of the gene expressions and genetic variants with complex traits. From
a Bayesian viewpoint, the sparsity can be favored using sparsity-enforcing
priors such as spike-and-slab priors. A two-stage modification of the
expectation propagation (EP) algorithm is proposed and examined for approximate
inference in high-dimensional sparse instrumental variables models with
spike-and-slab priors. This method is an adoption of the classical two-stage
least squares method, to be used with the Bayes context. A simulation study is
performed to examine the performance of the methods. The proposed method is
applied to analysis of the mouse obesity data.

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The categories of this paper are: cmp-lg
2
The categories of this paper are: math
11
The categories of this paper are: hep-lat
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
25
The categories of this paper are: patt-sol
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The categories of this paper are: q-fin
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The categories of this paper are: eess
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
24
The categories of this paper are: dg-ga
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The categories of this paper are: nucl-th
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The categories of this paper are: nucl-ex
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The categories of this paper are: supr-con
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The categories of this paper are: comp-gas