### Revision history for iBFE

##### Additions:

Xianwen Ren, Hua Fu and Qi Jin. Integrating heterogeneous genomic data to accurately identify disease subtypes. BMC Med Genomics. 2015, 8:78 DOI:10.1186/s12920-015-0154-5.

##### Deletions:

##### Additions:

Xianwen Ren, Hua Fu and Qi Jin, Integrating heterogeneous genomic data to accurately identify disease subtypes, BMC Medical Genomics, in press.

##### Deletions:

##### Additions:

Xianwen Ren, Hua Fu and Qi Jin, Dissolving potential restriction factors that prevent accurate diagnosis and prognosis based on multiple types of genomic data, in submission

##### Deletions:

##### Additions:

Xianwen Ren, Hua Fu and Qi Jin, iBFE: integrating multiple genomic data for accurate diagnosis and prognosis, in submission

##### Deletions:

##### Additions:

[[http://zhangroup.aporc.org/images/files/iBFE.zip :: iBFE ::]]

##### Deletions:

No Differences

##### Additions:

==Matlab code of iBFE==

[[http://zhangroup.aporc.org/images/files/iBFE.m :: iBFE ::]]

[[http://zhangroup.aporc.org/images/files/iBFE.m :: iBFE ::]]

##### Deletions:

%%

function x=iBFE(a,b,c)

% the rows of a, b and c represent patients

a1=corr(a','type','pearson');

a2=corr(a','type','spearman');

b1=corr(b','type','pearson');

b2=corr(b','type','spearman');

c1=corr(c','type','pearson');

c2=corr(c','type','spearman');

x=corr([a1;a2;b1;b2;c1;c2]);

%%

==It is very simple:)==

##### Additions:

==Refrence:==

Xianwen Ren, Hua Fu and Qi Jin, Integrating epigenomic and transcriptomic data to accurately classify diseases, in submission

Xianwen Ren, Hua Fu and Qi Jin, Integrating epigenomic and transcriptomic data to accurately classify diseases, in submission

##### Additions:

% the rows of a, b and c represent patients

##### Deletions:

##### Additions:

% the rows of a, b and c represents patients

##### Deletions:

##### Additions:

==It is very simple:)==

##### Deletions:

##### Additions:

==Is it very simple:)==

##### Additions:

==Matlab code of iBFE given three data types of the same number of patients:==

%%

% the rows of a, b and c represents patients;

%%

%%

% the rows of a, b and c represents patients;

%%

##### Deletions:

% the rows of a, b and c represents patients;