Need Help?

Ultra-fast deep-learned pediatric CNS tumor classification.

In this study nanopore sequencing was applied to obtain sparse DNA methylation profiles from pediatric CNS tumor samples. A neural network was used to classify the tumor based on the obtained methylation profile.

Request Access

DUO:0000007
version: 2021-02-23

disease specific research

This data use permission indicates that use is allowed provided it is related to the specified disease.

ModifiersMONDO_0006517

Data Access Agreement of data controlled by the Data Access Commitee of the Princess Maxima Center for Pediatric Oncology

The Princess Maxima Center for pediatric oncology default access policy to enable re-production of research and re-use of data for scientific purposes. Please contact the DAC (EGAC00001001864) for the most up to date policies.

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS00001007475 Other
  • Changed sample subject id
  • Changed sample subject id
  • Changed sample subject id
  • Changed sample subject id
  • Dataset Released

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Quality Report
Located in
EGAF00008208039 tar.gz 1.8 GB
EGAF00008208040 tar.gz 4.2 GB
EGAF00008208041 tar.gz 90.8 GB
EGAF00008208042 tar.gz 75.9 GB
EGAF00008208043 tar.gz 64.6 GB
EGAF00008208044 tar.gz 12.6 GB
EGAF00008208045 tar.gz 13.2 GB
EGAF00008208046 tar.gz 27.4 GB
EGAF00008208047 tar.gz 16.1 GB
EGAF00008208048 tar.gz 8.3 GB
EGAF00008208049 tar.gz 9.8 GB
EGAF00008208050 tar.gz 6.1 GB
EGAF00008208051 tar.gz 5.2 GB
EGAF00008208052 tar.gz 4.6 GB
EGAF00008208053 tar.gz 11.1 GB
EGAF00008208054 tar.gz 6.7 GB
EGAF00008208055 tar.gz 33.6 GB
EGAF00008208056 tar.gz 59.7 GB
EGAF00008208057 tar.gz 6.7 GB
EGAF00008208058 tar.gz 37.7 GB
EGAF00008208059 tar.gz 30.2 GB
EGAF00008208060 tar.gz 35.4 GB
EGAF00008208061 tar.gz 51.9 GB
EGAF00008208062 tar.gz 14.1 GB
EGAF00008208063 tar.gz 54.6 GB
EGAF00008208064 tar.gz 783.7 MB
EGAF00008208065 tar.gz 1.3 GB
EGAF00008208066 tar.gz 44.8 GB
EGAF00008208067 tar.gz 11.4 GB
EGAF00008208068 tar.gz 44.9 GB
EGAF00008208069 tar.gz 11.9 GB
EGAF00008208070 tar.gz 35.3 GB
EGAF00008208071 tar.gz 33.5 GB
EGAF00008208072 tar.gz 16.5 GB
EGAF00008208073 tar.gz 8.9 GB
EGAF00008208074 tar.gz 19.0 GB
EGAF00008208075 tar.gz 32.4 GB
EGAF00008208076 tar.gz 24.2 GB
EGAF00008208077 tar.gz 51.3 GB
EGAF00008208078 tar.gz 48.0 GB
EGAF00008208079 tar.gz 7.3 GB
EGAF00008208080 tar.gz 8.9 GB
EGAF00008208081 tar.gz 9.3 GB
EGAF00008208082 tar.gz 17.2 GB
EGAF00008208083 tar.gz 67.8 GB
EGAF00008208084 tar.gz 29.7 GB
EGAF00008208085 tar.gz 28.7 GB
EGAF00008208086 tar.gz 41.3 GB
EGAF00008208087 tar.gz 10.8 GB
EGAF00008208088 tar.gz 21.5 GB
EGAF00008208089 tar.gz 779.4 MB
EGAF00008208090 tar.gz 45.2 GB
EGAF00008208091 tar.gz 17.6 GB
EGAF00008208092 tar.gz 48.1 GB
EGAF00008208093 tar.gz 19.5 GB
EGAF00008208094 tar.gz 6.0 GB
EGAF00008208095 tar.gz 15.7 GB
EGAF00008208096 tar.gz 28.7 GB
EGAF00008208097 tar.gz 13.9 GB
EGAF00008208098 tar.gz 36.7 GB
EGAF00008208099 tar.gz 23.0 GB
EGAF00008208100 tar.gz 27.9 GB
EGAF00008208101 tar.gz 6.2 GB
EGAF00008208102 tar.gz 6.7 GB
EGAF00008208103 tar.gz 31.2 GB
EGAF00008208104 tar.gz 7.2 GB
EGAF00008208105 tar.gz 100.0 GB
EGAF00008208106 tar.gz 9.4 GB
EGAF00008208107 tar.gz 7.2 GB
EGAF00008208108 tar.gz 4.0 GB
EGAF00008208109 tar.gz 60.6 GB
EGAF00008208110 tar.gz 1.7 GB
EGAF00008208111 tar.gz 2.7 GB
EGAF00008208112 tar.gz 1.9 GB
EGAF00008208113 tar.gz 4.9 GB
EGAF00008208114 tar.gz 38.0 GB
EGAF00008208115 tar.gz 1.2 GB
EGAF00008208116 tar.gz 1.8 GB
78 Files (1.9 TB)