Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Markov random field-based approach to characterizing human brain
  development using spatial-temporal transcriptome data   Human neurodevelopment is a highly regulated biological process. In this
article, we study the dynamic changes of neurodevelopment through the analysis
of human brain microarray data, sampled from 16 brain regions in 15 time
periods of neurodevelopment. We develop a two-step inferential procedure to
identify expressed and unexpressed genes and to detect differentially expressed
genes between adjacent time periods. Markov Random Field (MRF) models are used
to efficiently utilize the information embedded in brain region similarity and
temporal dependency in our approach. We develop and implement a Monte Carlo
expectation-maximization (MCEM) algorithm to estimate the model parameters.
Simulation studies suggest that our approach achieves lower misclassification
error and potential gain in power compared with models not incorporating
spatial similarity and temporal dependency.

26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
37
The categories of this paper are: supr-con
1
The categories of this paper are: cs
36
The categories of this paper are: cmp-lg
0
The categories of this paper are: hep-ph
15
The categories of this paper are: nucl-ex
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci
18
The categories of this paper are: econ
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
29
The categories of this paper are: funct-an
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
17
The categories of this paper are: q-fin