1. Inferring orthologous gene regulatory networks using
interspecies data fusion 2015/8/10 ISMB/ECCB 2015@
@antiplastics
2. 2011
3. 1. Introduction
4. Gene Regulatory NetworkGRNs
http://www.nature.com/ncomms/journal/
v4/n5/g_tab/ncomms2693_F2.html DNA Togo picture gallery by DBCLS is
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Gene X Gene Y Gene Z X Y Z
14. Framework1JI (g(1) ,...,g(d) ,g*) =0 K(g(1) ,g*) j=1 d
Oates, 2014, Penfold et al, 2012, Werhli and Husmeier, 2008 (g( j)
,g*) = d(g( j) ,g*) 3 0 = max g( j ) ,...,g* { K(g( j) ,g*) j=1 d
}
15. Framework2NL Framework1Hyper network (g(1) ,...,g(d) ) =0
K(g(i) ,g( j) ) i=j+1 d j=1 d P(g(1) ,...,g(d) | X,,) P(g(1)
,...,g(d) | ) P(X( j) | g( j) ,( j) ) j=1 d X g d Data Hyper
Parameter Graph Model Parameter
16. : Data1 Data2 Data3 Data4 CCAFisher SVMK-meansPLS SVRetc
Data 1 Data 2 Data 3 Data 4 Data 1 Data 2 Data 3 Data 4 Data1 Data4
Data3 Data2 PC1 PC2 PC3 PCA
17. : 1: (x1),(x2 ) = K(x1, x2 ) x1 x2 (x1) (x2)
18. : 2: ATAGGA ACGGT AGGTG GTCAC
19. :
20. Shortest path graph kernel Kshortest path g 1( ) ,g 2( ) (
)= kwalk 1 e(1) ,e(2) ( ) e(2) Esp 2( ) e(1) Esp 1( ) g 1( ) g 2( )
gene1 gene2 gene3 gene4 gene5 gene1 gene2 gene3 gene4 gene5 :
gene2gene5 E : e : kwalk : Borgwardt and Kriegel, 2005 3 gene3
1
21. Graphlet kernel Kg g 1( ) ,g 2( ) ( )= fg 1( ) T fg 2( ) =
g 1( ) g 2( ) gene1 gene2 gene3 gene4 gene5 gene1 gene2 gene3 gene4
gene5 : gene3,4,5 3 Dg(1) = fg(1) Ng(1) Kg g 1( ) ,g 2( ) ( )= Dg
1( ) T Dg 2( ) gene3 fg 1( ) T fg 2( ) = (0,1,0,0)(0,1,0,0) =1
1
22. Weisfeiler-Lehman (WL) kernel K b( ) WL g 1( ) ,g 2( ) ( )=
k gi 1( ) ,gi 2( ) ( )i=0 h WL g 1( ) g 2( ) 1 2 3 4 5 1 2 3 4 5 :
h=0WL 3 k g0 1( ) ,g0 2( ) ( )= (g0 1( ) )(g0 2( ) ) = (1,1,2,1,1)
(1,1,1,1,1) =1+1+ 2 +1+1 = 5 5