Skip to main content

Single-Cell RNA-Seq label harmonization and aggregation on a tree of cell types

Project description

CellTypeTree

Single-Cell RNA-Seq label harmonization and aggregation on a tree of cell types.

Image

Automatic tools for cell type annotation vary in resolution, coverage, and accuracy—making it hard to choose the best one upfront. Combining multiple annotation sources can facilitate unsupervised cell type annotations, but also brings a set of recurring conflicts:

  • The same cell type is referred to by multiple names (e.g. NK cells vs NK)
  • Annotations have different resolutions (e.g. Monocytes vs CD14 Mono)
  • The same cell gets assigned to different cell types (e.g. Neutrophils vs Monocytes)

CellTypeTree addresses this by mapping all labels onto a unified tree of cell types. Synonyms are linked to the same node (e.g. NK cells = NK), while parent-child links capture hierarchical relations (CD14 MonoMonocytes). When paths diverge (e.g. Neutrophils vs Monocytes), the final assignment is guided by label aggregation methods like majority voting.

Installation

CellTypeTree is available on pypi. To install (including all optional dependencies) run:

pip install celltypetree[all]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

celltypetree-0.1.18.tar.gz (24.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

celltypetree-0.1.18-py3-none-any.whl (25.9 kB view details)

Uploaded Python 3

File details

Details for the file celltypetree-0.1.18.tar.gz.

File metadata

  • Download URL: celltypetree-0.1.18.tar.gz
  • Upload date:
  • Size: 24.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celltypetree-0.1.18.tar.gz
Algorithm Hash digest
SHA256 cf18466ab60bfb34aa9b4b121615d7d07d3b720092e61003eb453ff4c664c74f
MD5 a80fecfc716962ba0fc7aa43137fa535
BLAKE2b-256 4a98f14c38d36f9d7c80f29abafa21cf4750f23c09b3cc1b989fde575fc9cc20

See more details on using hashes here.

Provenance

The following attestation bundles were made for celltypetree-0.1.18.tar.gz:

Publisher: workflow.yml on lorenzoamir/celltypetree

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file celltypetree-0.1.18-py3-none-any.whl.

File metadata

  • Download URL: celltypetree-0.1.18-py3-none-any.whl
  • Upload date:
  • Size: 25.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for celltypetree-0.1.18-py3-none-any.whl
Algorithm Hash digest
SHA256 cc4262ccec661f549b9f359f1e8705d942e829951ae41e10c7d20f754a06a404
MD5 65caf3aa3e599b73526c2d7729cf2635
BLAKE2b-256 d5279deaf9cada6a8d18137fdd454cf7659ee7f9f95e965542bd4cf1940d8f1d

See more details on using hashes here.

Provenance

The following attestation bundles were made for celltypetree-0.1.18-py3-none-any.whl:

Publisher: workflow.yml on lorenzoamir/celltypetree

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page