Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Highly Accessed Methodology article

Biomine: predicting links between biological entities using network models of heterogeneous databases

Lauri Eronen* and Hannu Toivonen

BMC Bioinformatics 2012, 13:119  doi:10.1186/1471-2105-13-119

PubMed Commons is an experimental system of commenting on PubMed abstracts, introduced in October 2013. Comments are displayed on the abstract page, but during the initial closed pilot, only registered users can read or post comments. Any researcher who is listed as an author of an article indexed by PubMed is entitled to participate in the pilot. If you would like to participate and need an invitation, please email info@biomedcentral.com, giving the PubMed ID of an article on which you are an author. For more information, see the PubMed Commons FAQ.

A lot of similarities with our research, BioGraph

Anthony Liekens   (2013-03-08 16:58)  Universiteit Antwerpen

There are remarkable similarities between the methods and results presented in this paper and our research on BioGraph (http://www.biograph.be or http://genomebiology.com/content/12/6/R57), which we also adopt for the integration of knowledge sources and predict functional hypotheses with.

I find it unfortunate that our resource is not referenced or used as a comparison in this paper.

Competing interests

None declared

top

Post a comment