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mkdocs.yml
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mkdocs.yml
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site_name: geniml
site_logo: img/geniml_logo.svg
site_url: http://geniml.databio.org/
repo_url: http://github.com/databio/geniml
pypi_name: geniml
papers: https://www.biorxiv.org/content/10.1101/2020.11.02.364145v1
nav:
- Getting Started:
- Introduction: README.md
- Module overviews: modules.md
- How-to guides:
- Assess universe fit: tutorials/assess-universe.md
- Search intervals with BEDSpace: tutorials/bedspace.md
- Evaluate embeddings: tutorials/evaluation.md
- Train region2vec embeddings: tutorials/region2vec.md
- Train single-cell embeddings: tutorials/train-scembed-model.md
- Load vector database with embeddings: tutorials/load-qdrant-with-cell-embeddings.md
- Cell-type prediction using KNN: tutorials/cell-type-annotation-with-knn.md
- Tokenization: tutorials/tokenization.md
- Tokenize a BED file on the command line: tutorials/cli-tokenization.md
- Create consensus peaks: tutorials/create-consensus-peaks.md
- Fine-tune embeddings: tutorials/fine-tune-region2vec-model.md
- Randomize bed files: tutorials/bedshift.md
- Create evaluation dataset with bedshift: tutorials/bedshift-evaluation-guide.md
- Reference:
- API: autodoc_build/geniml.md
- Support: support.md
- Contributing: contributing.md
- Changelog: changelog.md
theme: databio
plugins:
- databio:
autodoc_build: "docs/autodoc_build"
jupyter_source: "docs_jupyter"
jupyter_build: "docs_jupyter/build"
# autodoc_package: "geniml"
no_top_level: false
- search
navbar:
right:
- text: Manuscripts
icon: fa-file-alt
href: manuscripts