Open Data to Support CANCER Science - a Bioinformatics Perspective on Glioma Research

Fleur Jeanquartier, Claire Jean-Quartier*, Sarah Stryeck, Andreas Holzinger

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung


Supporting data sharing is paramount to making progress in cancer research. This includes the search for more precise targeted therapies and the search for novel biomarkers, through cluster and classification analysis, and extends to learning details in signal transduction pathways or intra- and intercellular interactions in cancer, through network analysis and network simulation. Our work aims to support and promote the use of publicly available resources in cancer research and demonstrates artificial intelligence (AI) methods to find answers to detailed questions. For example, how targeted therapies can be developed based on precision medicine or how to investigate cell-level phenomena with the help of bioinformatical methods. In our paper, we illustrate the current state of the art with examples from glioma research, in particular, how open data can be used for cancer research in general, and point out several resources and tools that are readily available. Presently, cancer researchers are often not aware of these important resources.
Seiten (von - bis)219-229
PublikationsstatusVeröffentlicht - Dez. 2021


Untersuchen Sie die Forschungsthemen von „Open Data to Support CANCER Science - a Bioinformatics Perspective on Glioma Research“. Zusammen bilden sie einen einzigartigen Fingerprint.

Dieses zitieren