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Quantifying the impact of public omics data.
Perez-Riverol Y, Zorin A, Dass G, Vu MT, Xu P, Glont M, Vizcaíno JA, Jarnuczak AF, Petryszak R, Ping P, Hermjakob H. Perez-Riverol Y, et al. Nat Commun. 2019 Aug 5;10(1):3512. doi: 10.1038/s41467-019-11461-w. Nat Commun. 2019. PMID: 31383865 Free PMC article.
The amount of omics data in the public domain is increasing every year. Modern science has become a data-intensive discipline. ...In 2016, we released the first version of the Omics Discovery Index (OmicsDI) as a light-weight system to aggregate …
The amount of omics data in the public domain is increasing every year. Modern science has become a data-intensi …
Network-based analysis of oligodendrogliomas predicts novel cancer gene candidates within the region of the 1p/19q co-deletion.
Gladitz J, Klink B, Seifert M. Gladitz J, et al. Acta Neuropathol Commun. 2018 Jun 11;6(1):49. doi: 10.1186/s40478-018-0544-y. Acta Neuropathol Commun. 2018. PMID: 29890994 Free PMC article.
Gene regulatory networks were learned from gene expression and copy number data of 178 oligodendrogliomas and further used to quantify putative impacts of differentially expressed genes of the 1p/19q region on cancer-relevant pathways. We predicted 8 genes wi …
Gene regulatory networks were learned from gene expression and copy number data of 178 oligodendrogliomas and further used to quan