semra
所属分类:自然语言处理
开发工具:Python
文件大小:0KB
下载次数:0
上传日期:2023-10-25 16:10:08
上 传 者:
sh-1993
说明: 语义映射推理汇编程序(SeMRA):语义映射工具,
(Semantic Mapping Reasoning Assembler (SeMRA): tooling for semantic mappings,)
文件列表:
docs/ (0, 2023-12-12)
docs/img/ (0, 2023-12-12)
docs/img/logo.png (419828, 2023-12-12)
notebooks/ (0, 2023-12-12)
notebooks/Inference Example.ipynb (10076, 2023-12-12)
notebooks/umls-inference-analysis.ipynb (72962, 2023-12-12)
pyproject.toml (3355, 2023-12-12)
scripts/ (0, 2023-12-12)
scripts/cancer_cell_reproduction.py (4336, 2023-12-12)
scripts/gilda_reprocess.py (3274, 2023-12-12)
src/ (0, 2023-12-12)
src/semra/ (0, 2023-12-12)
src/semra/__about__.py (27, 2023-12-12)
src/semra/__init__.py (518, 2023-12-12)
src/semra/api.py (19561, 2023-12-12)
src/semra/client.py (10902, 2023-12-12)
src/semra/database.py (4787, 2023-12-12)
src/semra/gilda_utils.py (4002, 2023-12-12)
src/semra/io.py (23015, 2023-12-12)
src/semra/pipeline.py (13128, 2023-12-12)
src/semra/rules.py (1828, 2023-12-12)
src/semra/sources/ (0, 2023-12-12)
src/semra/sources/__init__.py (2672, 2023-12-12)
src/semra/sources/biopragmatics.py (3104, 2023-12-12)
src/semra/sources/chembl.py (2257, 2023-12-12)
src/semra/sources/clo.py (5365, 2023-12-12)
src/semra/sources/famplex.py (1474, 2023-12-12)
src/semra/sources/gilda.py (1853, 2023-12-12)
src/semra/sources/intact.py (1689, 2023-12-12)
src/semra/sources/ncit.py (3929, 2023-12-12)
src/semra/sources/pubchem.py (1862, 2023-12-12)
src/semra/struct.py (8283, 2023-12-12)
src/semra/templates/ (0, 2023-12-12)
src/semra/templates/base.html (1471, 2023-12-12)
src/semra/templates/concept.html (4204, 2023-12-12)
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# Semantic Mapping Reasoning Assembler (SeMRA)
[![DOI](https://zenodo.org/badge/626870339.svg)](https://zenodo.org/badge/latestdoi/626870339)
This software provides:
1. An object model for semantic mappings (based on SSSOM)
2. Functionality for assembling and reasoning over
semantic mappings at scale
3. A provenance model for automatically generated mappings
4. A confidence model granular at the curator-level,
mapping set-level, and community feedback-level
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