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| 1 | +version: 0.9.0 |
| 2 | + |
| 3 | +tool: |
| 4 | + name: BDI-Kit |
| 5 | + repo_url: https://github.com/VIDA-NYU/bdi-kit |
| 6 | + package_url: https://pypi.org/project/bdi-kit |
| 7 | + tool_homepage: https://github.com/VIDA-NYU/bdi-kit |
| 8 | + documentation_url: https://bdi-kit.readthedocs.io/stable |
| 9 | + tool_type: Library |
| 10 | + tool_notes: Python library, pip installable |
| 11 | + |
| 12 | +llm: |
| 13 | + usesLlm: true |
| 14 | + modelsSupported: # It can work with multiple models supported in LiteLLM, including open source models. |
| 15 | + - gpt4o |
| 16 | + - gpt4o-mini |
| 17 | + - ollama/deepseek-r1:32b |
| 18 | + modelsRequired: |
| 19 | + - gpt4o-mini |
| 20 | + bringOwnKey: true |
| 21 | + |
| 22 | +input: |
| 23 | + - name: Clinical/phenotype Tabular 1 |
| 24 | + dataCategory: clinical-phenotype |
| 25 | + dataClass: tabular |
| 26 | + dataType: clinical-ehr |
| 27 | + format: |
| 28 | + - csv |
| 29 | + dataStandard: |
| 30 | + - Any standard for tabular data |
| 31 | + proprietary: false |
| 32 | + source: https://github.com/VIDA-NYU/bdi-kit/tree/devel/examples/datasets |
| 33 | + - name: Omics/molecular 1 |
| 34 | + dataCategory: omics-molecular |
| 35 | + dataClass: tabular |
| 36 | + dataType: proteomics |
| 37 | + format: |
| 38 | + - none |
| 39 | + dataStandard: |
| 40 | + - None |
| 41 | + proprietary: false |
| 42 | + source: https://github.com/VIDA-NYU/bdi-kit/tree/devel/examples/datasets |
| 43 | + |
| 44 | +output: |
| 45 | + - name: Clinical/phenotype tabular 1 |
| 46 | + dataCategory: clinical-phenotype |
| 47 | + dataClass: tabular |
| 48 | + dataType: clinical-ehr |
| 49 | + format: |
| 50 | + - csv |
| 51 | + - dataframe |
| 52 | + - json |
| 53 | + dataStandard: |
| 54 | + - GDC |
| 55 | + - PDC |
| 56 | + - Synapse |
| 57 | + - other common data models |
| 58 | + proprietary: false |
| 59 | + source: https://github.com/VIDA-NYU/bdi-kit/tree/devel/examples/datasets |
| 60 | + - name: Omics/molecular tabular 1 |
| 61 | + dataCategory: omics-molecular |
| 62 | + dataClass: tabular |
| 63 | + dataType: clinical-ehr |
| 64 | + format: |
| 65 | + - dataframe |
| 66 | + dataStandard: |
| 67 | + - Any target dataset represented as a Pandas DataFrame |
| 68 | + proprietary: false |
| 69 | + source: https://github.com/VIDA-NYU/bdi-kit/tree/devel/examples/datasets |
| 70 | + |
| 71 | +license: |
| 72 | + license_type: Apache-2.0 |
| 73 | + link: https://github.com/VIDA-NYU/bdi-kit/blob/devel/LICENSE.txt |
| 74 | + |
| 75 | +funding: |
| 76 | + source: ASKEM ARPA-H |
| 77 | + agreement: Not specified |
| 78 | + link: https://arpa-h.gov/ |
| 79 | + |
| 80 | +domains: |
| 81 | + - omics/clinical |
| 82 | + |
| 83 | +credit: |
| 84 | + - name: NYU ASKEM Team |
| 85 | + role: Developer |
| 86 | + org: New York University |
| 87 | + url: https://vida-nyu.github.io/ |
| 88 | + |
| 89 | +target_users: |
| 90 | + primary_user: |
| 91 | + user_type: researcher |
| 92 | + technical_literacy_level: |
| 93 | + - novice |
| 94 | + biomedical_literacy_level: |
| 95 | + - intermediate |
| 96 | + secondary_user: |
| 97 | + user_type: Data Scientist/Developer |
| 98 | + technical_literacy_level: |
| 99 | + - novice |
| 100 | + biomedical_literacy_level: |
| 101 | + - intermediate |
| 102 | + |
| 103 | +maturity: |
| 104 | + beginning_maturity: 1 |
| 105 | + current_maturity: 7 |
| 106 | + |
| 107 | +media: [{ "link": "https://bdi-kit.readthedocs.io/stable/" }] |
| 108 | + |
| 109 | +collaborations: [] |
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