DNA methylation-based prognostic subtypes of chordoma tumors in tissue and plasma is a research paper published in Neuro-Oncology (2021). On theSindex it has a DataRank of 0. It has been cited 63 times.
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Beijing Municipal Science and Technology Commission
Grant: Z171100000117002
Public Welfare Industry of Health
Grant: 201402008
Canadian Institutes of Health Research
Grant: 201512MSH360794-228629
Canadian Institutes of Health Research
Grant: FDN 148430
Canadian Institutes of Health Research
Grant: PJT 165986
Natural Sciences and Engineering Research Council of Canada
Grant: 489073
Terry Fox Research Institute
Grant: 1106
Canadian Cancer Society
Grant: 706135
Canadian Institutes of Health Research
Grant: unidentified
unidentified
Canada Research Chairs
National Institutes of Health
Ontario Institute for Cancer Research
Princess Margaret Cancer Foundation
FWCI
8.77
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment
Additional file 1 of DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment
Additional file 2 of DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment
Additional file 2 of DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment
Additional file 3 of DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment
Additional file 3 of DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment
Additional file 4 of DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment
Additional file 4 of DNA methylation, combined with RNA sequencing, provide novel insight into molecular classification of chordomas and their microenvironment
Additional file 1 of Predicting overall survival in chordoma patients using machine learning models: a web-app application
Additional file 1 of Predicting overall survival in chordoma patients using machine learning models: a web-app application
Additional file 1 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 1 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 4 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 4 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 5 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 5 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 3 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 2 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 2 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth
Additional file 3 of Organelle resolved proteomics uncovers PLA2R1 as a novel cell surface marker required for chordoma growth