Skip to main content

single-cell Graph of Receptors, pAthways, Factors and Targets — external-prior loaders (early placeholder; core model not yet released)

Project description

sc-graft

Early placeholder release. sc-graft — a single-cell Graph of Receptors, pAthways, Factors and Targets — is a biologically-grounded heterogeneous graph transformer for inferring how receptor signaling propagates to target genes in single cells.

This pre-release ships only a small slice of the preprocessing layer: the external-prior loaders (STRING physical PPI, MSigDB gene sets, SCENIC regulons). The network-construction logic and the model itself are under active development and are not included yet.

from sc_graft import load_string_interactions, read_gmt, gmt_path, load_regulons

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

sc_graft-0.0.0.tar.gz (3.9 kB view details)

Uploaded Source

Built Distribution

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

sc_graft-0.0.0-py3-none-any.whl (4.2 kB view details)

Uploaded Python 3

File details

Details for the file sc_graft-0.0.0.tar.gz.

File metadata

  • Download URL: sc_graft-0.0.0.tar.gz
  • Upload date:
  • Size: 3.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for sc_graft-0.0.0.tar.gz
Algorithm Hash digest
SHA256 6ffb1c9555329e58a79bc0c83424892e2afae8e9bdf1e766611066476b3acc40
MD5 8068c069bec8e2ed8e1da0a19cec689e
BLAKE2b-256 34b482ea66d17e0e0aafbf1bd27b8f1c9e2de9926df5d4902365b618df6e2dee

See more details on using hashes here.

File details

Details for the file sc_graft-0.0.0-py3-none-any.whl.

File metadata

  • Download URL: sc_graft-0.0.0-py3-none-any.whl
  • Upload date:
  • Size: 4.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.11.15

File hashes

Hashes for sc_graft-0.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 e8b0088f9511f2d67f801eb03c42b5107f34d6778b23364453e49836ba03ed1e
MD5 e46510f96ac6d5281f459bea9077b84a
BLAKE2b-256 c775194d65bf4fb715b497bbc57c2b1a45aab21cacddbcbd9ea9d3c752f10801

See more details on using hashes here.

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