Research Trend Visualization by MeSH Terms from PubMed

Meshable: searching PubMed abstracts by utilizing MeSH and MeSH-derived topical terms

UNLABELLED Medical Subject Headings (MeSH(®)) is a controlled vocabulary for indexing and searching biomedical literature. MeSH terms and subheadings are organized in a hierarchical structure and are used to indicate the topics of an article. Biologists can use either MeSH terms as queries or the MeSH interface provided in PubMed(®) for searching PubMed abstracts. However, these are rarely used...

Characterization of the mechanism of drug-drug interactions from PubMed using MeSH terms

Identifying drug-drug interaction (DDI) is an important topic for the development of safe pharmaceutical drugs and for the optimization of multidrug regimens for complex diseases such as cancer and HIV. There have been about 150,000 publications on DDIs in PubMed, which is a great resource for DDI studies. In this paper, we introduced an automatic computational method for the systematic analysi...

MeSHgram: An Open Source Tool to Visually Browse Co-occurrence of MeSH Terms in PubMed

Trend mining in social networks: from trend identification to visualization

A four stage social network trend mining framework, the IGCV (Identification, Grouping, Clustering and Visualisation) framework, is described. The framework extracts trends from social network data and then applies a sequence of techniques (“tools”) to this data to facilitate interpretation of the identified trends. Of particular note is the visualisation of trend migrations (changes) that feat...

MeSHer: identifying biological concepts in microarray assays based on PubMed references and MeSH terms

UNLABELLED MeSHer uses a simple statistical approach to identify biological concepts in the form of Medical Subject Headings (MeSH terms) obtained from the PubMed database that are significantly overrepresented within the identified gene set relative to those associated with the overall collection of genes on the underlying DNA microarray platform. As a demonstration, we apply this approach to ...