Extracting gene-melanoma relations from scientific literature
29 August 2022
Fabio Rinaldi, senior researcher at IDSIA, is also Group Leader at the Swiss Institute of Bioinformatics (SIB). Fabio and his group have recently published their work on how dataset annotations can be useful to extract complexity information from datasets, in this case on the important relationship between genes and melanoma types.
SIB has created a video highlighting this work, a link is available below, together with a link to the journal paper.
SIB has created a video highlighting this work, a link is available below, together with a link to the journal paper.
Links
- AI-powered extraction of biomedical relationships from the literature
- Roberto Zanoli, Alberto Lavelli, Theresa Löffler, Nicolas Andres Perez Gonzalez, Fabio Rinaldi. An annotated dataset for extracting gene-melanoma relations from scientific literature. Journal of Biomedical Semantics, volume 13, Article number: 2 (2022)