Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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A full spaCy pipeline and models for scientific/biomedical documents.
- scientific-documents
- spacy
- custom-pipes
- nlp
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
🧫 A curated list of resources relevant to doing Biomedical Information Extraction (including BioNLP)
- awesome
- biomedical
- text-mining
- information-extraction
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
PyTorch Connectomics: segmentation toolbox for EM connectomics
- computer-vision
- neuroscience
- connectomics
- pytorch
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Read and write Neuroglancer datasets programmatically.
- neuroglancer
- volumetric-data
- python
- cloud
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
TypeDB Bio: Biomedical Knowledge Graph
- bioinformatics
- knowledge-graph
- knowledge-base
- drug-discovery
A list of awesome selected resources towards the application of machine learning in Biomedical/Healthcare Imaging, inspired by
A framework for keeping biomedical text mining result up-to-date
- bionlp
- text-mining
- infrastructure
- python
A smorgasbord architecture for coreference resolution in biomedical text