Skip to main content

Single-Cell Analysis Annotation and Modality Prediction.

Project description

scParadize

Tunable highly accurate multi-class cell type annotation and surface protein abundance prediction in single cell RNA-seq data.

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

scparadise-0.3.1b0.tar.gz (64.5 kB view details)

Uploaded Source

Built Distribution

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

scparadise-0.3.1b0-py3-none-any.whl (70.3 kB view details)

Uploaded Python 3

File details

Details for the file scparadise-0.3.1b0.tar.gz.

File metadata

  • Download URL: scparadise-0.3.1b0.tar.gz
  • Upload date:
  • Size: 64.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.9.20

File hashes

Hashes for scparadise-0.3.1b0.tar.gz
Algorithm Hash digest
SHA256 e94655303354a2fc9ab4580f607dc19d37a29c5d60ca50f3a3127187d2e01db3
MD5 643b815696bdaa4b2acb419a4075077e
BLAKE2b-256 84ce98467eb07564fbdfe6538fd379758681650bfb3454187a7a19f774667a5a

See more details on using hashes here.

File details

Details for the file scparadise-0.3.1b0-py3-none-any.whl.

File metadata

  • Download URL: scparadise-0.3.1b0-py3-none-any.whl
  • Upload date:
  • Size: 70.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.9.20

File hashes

Hashes for scparadise-0.3.1b0-py3-none-any.whl
Algorithm Hash digest
SHA256 981ef4dd9c7d4f8defb19a7d7ca6924bfb4da3822324c4ab59242152af4edd9f
MD5 7b7c9e1215a39ab5fcad0ee711309412
BLAKE2b-256 c778988686aecf71fce64c96c5da675cf77f022a4af816f856249756d1ad1dec

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