Datasets
Models
| # | category | group | name | colour | is_alias |
|---|---|---|---|---|---|
| 1 | subgroup | BL-genetic | Q53-BL | #A6CEE3FF | |
| 2 | subgroup | BL-genetic | DLBCL-A | #721F0FFF | |
| 3 | subgroup | BL-genetic | IC-BL | #45425AFF | |
| 4 | subgroup | BL-genetic | DGG-BL | #E90C8BFF | |
| 5 | subgroup | BL-genetic | DLBCL-B | #FB9A99FF | |
| 6 | subgroup | BL-genetic | DLBCL-C | #C41230FF | |
| 7 | publication | blood | Red | #C41230FF | |
| 8 | publication | blood | Blue | #115284FF | |
| 9 | publication | blood | Green | #39B54BFF | |
| 10 | publication | blood | Purple | #5C266CFF | |
| 11 | publication | blood | Orange | #FE9003FF | |
| 12 | publication | blood | Green | #046852FF | |
| 13 | publication | blood | Lavendar | #8781BDFF | |
| 14 | publication | blood | Steel Blue | #455564FF | |
| 15 | publication | blood | Light Blue | #2CACE3FF | |
| 16 | publication | blood | Magenta | #E90C8BFF | |
| 17 | publication | blood | Mustard | #B76D29FF | |
| 18 | publication | blood | LimeGreen | #A4BB87FF | |
| 19 | publication | blood | Brown | #5F3A17FF | |
| 20 | publication | blood | Gray | #BDBDC1FF | |
| 21 | publication | blood | Yellow | #F9BD1FFF | |
| 22 | patient | clinical | M | #118AB2FF | |
| 23 | patient | clinical | Male | #118AB2FF | yes |
| 24 | patient | clinical | F | #EF476FFF | |
| 25 | patient | clinical | Female | #EF476FFF | yes |
| 26 | patient | clinical | EBV-positive | #7F055FFF | |
| 27 | patient | clinical | EBV-negative | #E5A4CBFF | |
| 28 | patient | clinical | POS | #C41230FF | |
| 29 | patient | clinical | NEG | #E88873FF | |
| 30 | patient | clinical | FAIL | #BDBDC1FF | |
| 31 | patient | clinical | Alive | #046852FF | yes |
| 32 | patient | clinical | alive | #046852FF | |
| 33 | patient | clinical | dead | #A4BB87FF | |
| 34 | patient | clinical | Dead | #A4BB87FF | yes |
| 35 | patient | clinical | deceased | #A4BB87FF | yes |
| 36 | patient | clinical | unknown | #C3C9E9FF | |
| 37 | patient | clinical | IPI_0 | #3B9AB2FF | |
| 38 | patient | clinical | IPI_1 | #78B7C5FF | |
| 39 | patient | clinical | IPI_2 | #EBCC2AFF | |
| 40 | patient | clinical | IPI_3 | #E1AF00FF | |
| 41 | patient | clinical | IPI_4 | #F21A00FF | |
| 42 | patient | clinical | Adult | #DCE0E5FF | yes |
| 43 | patient | clinical | adult | #DCE0E5FF | |
| 44 | patient | clinical | Pediatric | #677A8EFF | yes |
| 45 | patient | clinical | pediatric | #677A8EFF | |
| 46 | patient | clinical | Diagnosis | #E57A44FF | |
| 47 | patient | clinical | A | #E57A44FF | |
| 48 | patient | clinical | B | #721817FF | |
| 49 | patient | clinical | C | #721817FF | |
| 50 | patient | clinical | D | #721817FF | |
| 51 | patient | clinical | E | #721817FF | |
| 52 | patient | clinical | Progression | #A44A3FFF | |
| 53 | patient | clinical | Relapse | #721817FF | |
| 54 | patient | clinical | I | #75F4F4FF | |
| 55 | patient | clinical | FOLL1 | #75F4F4FF | |
| 56 | patient | clinical | II | #90E0F3FF | |
| 57 | patient | clinical | FOLL2 | #90E0F3FF | |
| 58 | patient | clinical | IIIA | #B8B3E9FF | |
| 59 | patient | clinical | FOLL3A | #B8B3E9FF | |
| 60 | patient | clinical | IIIB | #D999B9FF | |
| 61 | patient | clinical | FOLL3B | #D999B9FF | |
| 62 | patient | clinical | matched | #F0B67FFF | |
| 63 | patient | clinical | unmatched | #D6D1B1FF | |
| 64 | patient | clinical | FF | #009FFDFF | yes |
| 65 | patient | clinical | frozen | #009FFDFF | |
| 66 | patient | clinical | FFPE | #95B2B8FF | |
| 67 | patient | clinical | ctDNA | #7E6148FF | |
| 68 | study | cohort | Chapuy | #8B0000FF | yes |
| 69 | study | cohort | Chapuy, 2018 | #8B0000FF | |
| 70 | study | cohort | Arthur | #8845A8FF | yes |
| 71 | study | cohort | Arthur, 2018 | #8845A8FF | |
| 72 | study | cohort | Schmitz | #2C72B2FF | yes |
| 73 | study | cohort | Schmitz, 2018 | #2C72B2FF | |
| 74 | study | cohort | Reddy | #E561C3FF | yes |
| 75 | study | cohort | Reddy, 2017 | #E561C3FF | |
| 76 | study | cohort | Morin | #8DB753FF | yes |
| 77 | study | cohort | Morin, 2013 | #8DB753FF | |
| 78 | study | cohort | Kridel | #4686B7FF | yes |
| 79 | study | cohort | Kridel, 2016 | #4686B7FF | |
| 80 | study | cohort | ICGC | #E09C3BFF | yes |
| 81 | study | cohort | ICGC, 2018 | #E09C3BFF | |
| 82 | study | cohort | Grande | #E90C8BFF | yes |
| 83 | study | cohort | Grande, 2019 | #E90C8BFF | |
| 84 | subgroup | coo | ABC | #05ACEFFF | |
| 85 | subgroup | coo | UNCLASS | #05631EFF | yes |
| 86 | subgroup | coo | Unclass | #05631EFF | yes |
| 87 | subgroup | coo | U | #05631EFF | |
| 88 | subgroup | coo | UNC | #05631EFF | yes |
| 89 | subgroup | coo | GCB | #F58F20FF | |
| 90 | subgroup | coo | DHITsig- | #F58F20FF | yes |
| 91 | subgroup | coo | DZsig- | #F58F20FF | |
| 92 | subgroup | coo | DHITsigNeg | #F58F20FF | yes |
| 93 | subgroup | coo | DZsigNeg | #F58F20FF | yes |
| 94 | subgroup | coo | DZsig-IND | #003049FF | |
| 95 | subgroup | coo | DHITsig-IND | #003049FF | yes |
| 96 | subgroup | coo | DHITsig+ | #D62828FF | yes |
| 97 | subgroup | coo | DZsig+ | #D62828FF | |
| 98 | subgroup | coo | DHITsigPos | #D62828FF | yes |
| 99 | genetic_alteration | copy_number | nLOH | #E026D7FF | |
| 100 | genetic_alteration | copy_number | 14 | #380015FF |