Fraunhofer SCAI Bioinformatics Department
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- covid-NDD-comorbidity-NLP Public
This work aims to integrate diverse, curated biological databases with a comprehensive analysis of the growing body of literature on the potential long-term neurological consequences of COVID-19 infections, employing advanced natural language processing and text mining techniques.
SCAI-BIO/covid-NDD-comorbidity-NLP’s past year of commit activity - datastew Public
Python library for intelligent data stewardship using Large Language Model (LLM) embeddings
SCAI-BIO/datastew’s past year of commit activity - primekg-rag Public
RAG-based method for mapping variables to PrimeKG subgraphs with textual graph descriptions.
SCAI-BIO/primekg-rag’s past year of commit activity - pytmle Public
A Flexible Python Implementation of Targeted Estimation for Survival and Competing Risks Analysis
SCAI-BIO/pytmle’s past year of commit activity - commute-tmle Public
Code accompanying the paper "Is COVID-19 increasing the risk for neurodegeneration? A causal inference study on three real-world population cohorts".
SCAI-BIO/commute-tmle’s past year of commit activity
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