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93 lines (87 loc) · 2.46 KB
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site_name: multiscoresplot
site_url: https://AndreMacedo88.github.io/multiscoresplot/
site_description: Multi-dimensional gene set scoring and visualization for single-cell transcriptomics
site_author: Andre Macedo
repo_name: AndreMacedo88/multiscoresplot
repo_url: https://github.com/AndreMacedo88/multiscoresplot
theme:
name: material
palette:
- media: "(prefers-color-scheme: light)"
scheme: default
primary: indigo
accent: indigo
toggle:
icon: material/brightness-7
name: Switch to dark mode
- media: "(prefers-color-scheme: dark)"
scheme: slate
primary: indigo
accent: indigo
toggle:
icon: material/brightness-4
name: Switch to light mode
features:
- navigation.instant
- navigation.tracking
- navigation.sections
- navigation.top
- search.highlight
- search.suggest
- content.code.copy
- content.code.annotate
icon:
repo: fontawesome/brands/github
nav:
- Home: index.md
- Getting Started: getting-started.md
- Pipeline Guide: pipeline.md
- API Reference:
- Overview: api/index.md
- plot_scores: api/pipeline.md
- score_gene_sets: api/scoring.md
- blend_to_rgb & reduce_to_rgb: api/colorspace.md
- plot_embedding: api/plotting.md
- plot_embedding_interactive: api/interactive.md
- render_legend: api/legend.md
- Examples: examples.md
- Changelog: changelog.md
plugins:
- search
- mkdocstrings:
default_handler: python
handlers:
python:
paths: [src]
options:
docstring_style: numpy
show_source: true
show_root_heading: true
show_root_full_path: false
show_symbol_type_heading: true
show_symbol_type_toc: true
members_order: source
merge_init_into_class: true
show_signature_annotations: true
separate_signature: true
signature_crossrefs: true
markdown_extensions:
- admonition
- pymdownx.details
- pymdownx.superfences
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.inlinehilite
- pymdownx.snippets
- pymdownx.tabbed:
alternate_style: true
- attr_list
- md_in_html
- toc:
permalink: true
extra:
social:
- icon: fontawesome/brands/github
link: https://github.com/AndreMacedo88/multiscoresplot
- icon: fontawesome/brands/python
link: https://pypi.org/project/multiscoresplot/