第
47
卷第
6
期
20]
:J
年(i
J]
上海交通大学学报
JOURNAL
OF
SHANGHAI
JIAO
TONG
UNIVERSITY
文章编号:
1006-2167(2013)06-0994-0
c
1
+1002
基于大脑不同区域的阿尔茨海默症
基因表达数据分析
.J
L
薇
牟晓阳
2
Vo
l.
17
~O.
6
J
un.
201:1
(1.上海海事大学信息工程学院，上海
200030;
2.
美国罗文大学医药研究巾心，新泽西
08028)
摘
要:提出了采用
Tukey
双权函数作为
FastICA
(Fast
Independent
Component
Analysis)
方法
的非线性函数，对阿尔茨海默症
(Alzheimer'
s
disease
,
AD)
多个脑区域基因表达数据进行显著基
因才是取，揭示其基因表达调控关系.针对传统聚类方法基于全局聚类且只能将某个基因聚类到某一
类的缺陷，改进的
FastICA
方法能够对基因表达数据进行快速有效的双向聚类，能够满足同一个
基因可能参与不同信号传导通路的生物特性.同时考虑到人脑中海马区、内嗅皮质区、颜中回及视
觉皮层区均与学习与记忆功能密切相关，将算法对多个脑区域进行基因表达调控综合分析.结果表
明，大量炎症反应是
AD
致病的重要因素之一.
关键词:微阵列基因表达数据;阿尔茨海默症;独立成分分析;基因调控网络
中图分类号:
Q 343. 1
文献标志码
:A
Gene Expression Data Analysis
of
Alzheimer' s Disease
8ased
on
Different 8rain Areas
KONG
Wei
1
,
MOU
Xiao-yang
2
(1.
Information
Engineering
College
,
Shanghai
Maritime
U
niversity
,
Shanghai
201306
,
China;
2.
DNJ
Pharma
,
Rowan
University
,
NJ
08028
,
USA)
Abstract:
An
improved
FastICA
(Fast
Independent
Component
Analysis)
algorithm
using
Tukey
biweight
function
as
its
nonlinear
function
was
proposed
to
analyze
significant
genes
and
regulatory
network
of
multi-brain
areas
of
Alzheimer'
s
disease
(AD).
To
avoid
the
limitation
of
traditional
clustering
methods
which
group
genes
in
only
one
class
and
based
on
the
global
similarities
in
their
expression
profiles
, in
this
study
,
the
improved
biclustering
method
can
identify
the
significant
genes
and
gene
regulatory
modules
of
AD
efficiently.
According
to
the
function
of
brain
area
,
this
method
was
applied
to
the
AD
brain
samples
of
hippocampus
(HIP)
,
entorhinal
cortex
(EC)
,
media
temporal
gyrus
(MTG)
and
primary
visual
cortex
respec
tJ飞
rely
which
was
closely
related
to
human
learning
and
memory.
The
integrated
biological
analysis
demonstrated
that
the
identified
inflammation
processes
in
human
brain
played
an
important
role
in
AD.
Key
words:
microarray
gen
巳
expression
data;
Alzheimer'
s
disease;
independent
component
analysis;
gene
regulatory
network
收稿日期
:2012-09-03
基金项目:罔家自然科学基金项目
(61271446)
，上海市科委青年科技启明星计划
(A
类)项目(l1
Q 八
1402900)
，上海市教委科研创新项目
01
YZ14
1)
作者简介:孔
薇
0977
儿女.河北石家庄市人，副教授，研究方向:生物信息学电话
CTc
l.
) :
021-38282868;
E-mail:
weikoll
日
@shmtu.
edu. C
Il.
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