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CUNY-SPH
- New York, NY
- https://shbrief.github.io/sehyunoh/
- @drsehyun
- in/sehyunoh
Highlights
- Pro
Stars
Bioinformatics'2020: BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Function prediction using a deep ontology-aware classifier
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A curated list of resources for graph databases and graph computing tools
A curated list of Knowledge Graph related learning materials, databases, tools and other resources
Backend library for conversational AI in biomedicine
python library for working with ontologies and ontology associations
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
Interpretation of RNAseq experiments through robust, efficient comparison to public databases
LLM-based ontological extraction tools, including SPIRES
OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team co…
Pipe-friendly Framework for Basic Statistical Tests in R
A centralized location for storing curated data from cBioPortal
RightField is an open-source tool for adding ontology term selection to Excel spreadsheets. RightField is used by a 'Template Creator' to create semantically aware Excel spreadsheet templates. The …
A collection of research papers, datasets and software related to knowledge graphs for drug discovery. Accompanies the paper "A review of biomedical datasets relating to drug discovery: a knowledge…
Continuous integration for R packages. 🔀 Automates testing ✅, documentation website building 📦, & containerised deployment 🐳.
Code and assets for my personal website at https://mm218.dev
Meta-analysis of over 42k metagenomic samples to investigate Clostridioides difficile prevalence across age, geography, health and disease
Structure your data in a FAIR way using google sheets or TSVs. These are then converted to LinkML, and from there other formats
An ontology of gross anatomy covering metazoa. Works in concert with https://github.com/obophenotype/cell-ontology