Main logo
tutorial arrow
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

Probabilistic INTegration of CAncer GEnomics data PINCAGE

Allows candidate biomarker identification and sample classification. PINCAGE is a flexible model for integration of multiple gene-level genomic data types. It separately models the relationships between gene expression and methylation of two gene regions: promoter and gene body. It also models the distribution of data types and the sampling of the underlying high-throughput measurements.

User report

tutorial arrow
Vote up tools and offer feedback
Give value to tools and make your expertise visible
Give your feedback on this tool
Sign up for free to join and share with the community

0 user reviews

0 user reviews

No review has been posted.


tutorial arrow
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.
Take part in the discussion
Sign up for free to ask question and share your advices

No open topic.

PINCAGE classification

PINCAGE specifications

Software type:
Restrictions to use:
Programming languages:
Command line interface
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:

PINCAGE distribution


tutorial arrow
Upload and version your source code
Get a DOI for each update to improve tool traceability. Archive your releases so the community can easily visualize progress on your work.
Facilitate your tool traceability
Sign up for free to upload your code and get a DOI

No versioning.

PINCAGE support


  • Michal Switnicki <>
  • Jakob Pedersen <>


tutorial arrow
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.
Promote your work
Sign up for free to badge your contributorship



Department of Molecular Medicine (MOMA), Aarhus University Hospital, Aarhus, Denmark; Bioinformatics Research Centre (BiRC), Aarhus University, Aarhus, Denmark

Funding source(s)

Supported by The Danish Strategic Research Council (Innovation Fund Denmark) and the Sapere Aude program of the Danish Council for Independent Research Medical Sciences.

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.