DSviaDRM: an R package for estimating disease similarity via dysfunctional regulation mechanism.
Elucidation of human disease similarities has provided new insights into etiology, disease classification and drug repositioning. Since dysfunctional regulation would be manifested as the decoupling of expression correlation, disease similarity (DS) in terms of dysfunctional regulation mechanism (DRM) could be estimated by using a differential coexpression based approach, which is described in a companion paper. Due to the lack of tools for estimating DS from the viewpoint of DRM in public domain, we implemented an R package 'DSviaDRM' to identify significant DS via DRM based on transcriptomic data. DSviaDRM contains five easy-to-use functions, DCEA, DCpathway, DS, comDCGL and comDCGLplot, for identifying disease relationships and showing common differential regulation information shared by similar diseases.


METHODS
DSviaDRM is available as an R package, with a user's guide and source code, at http://cran.r-project.org/web/packages/DSviaDRM/index.html.


BACKGROUND
yyli@scbit.org or yxli@scbit.org.


BACKGROUND
Supplementary data are available at Bioinformatics online.
School of Biotechnology, East China University of Science and Technology, Shanghai 200237, People's Republic of China, System biology group, Shanghai Center for Bioinformation Technology, Shanghai 201203, People's Republic of China.
Jing
J
Yang
School of Biotechnology, East China University of Science and Technology, Shanghai 200237, People's Republic of China, System biology group, Shanghai Center for Bioinformation Technology, Shanghai 201203, People's Republic of China.
Su-Juan
SJ
Wu
School of Biotechnology, East China University of Science and Technology, Shanghai 200237, People's Republic of China, System biology group, Shanghai Center for Bioinformation Technology, Shanghai 201203, People's Republic of China, Shanghai Industrial Technology Institute, Shanghai 201203, People's Republic of China and Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai 201203, People's Republic of China.
Yi-Xue
YX
Li
System biology group, Shanghai Center for Bioinformation Technology, Shanghai 201203, People's Republic of China, Shanghai Industrial Technology Institute, Shanghai 201203, People's Republic of China and Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai 201203, People's Republic of China.
Yuan-Yuan
YY
Li
D004194:Disease / Q000235:genetics*; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D006801:Humans; D012984:Software