Skip to main content

A tool for cell type annotation using RAG

Project description

CASSIA RAG

CASSIA RAG is the RAG part of the CASSIA method. It is a tool for cell type annotation using Retrieval-Augmented Generation (RAG).

Installation

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

cassia_rag-0.1.4.tar.gz (17.6 kB view details)

Uploaded Source

Built Distribution

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

cassia_rag-0.1.4-py3-none-any.whl (17.3 kB view details)

Uploaded Python 3

File details

Details for the file cassia_rag-0.1.4.tar.gz.

File metadata

  • Download URL: cassia_rag-0.1.4.tar.gz
  • Upload date:
  • Size: 17.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.6

File hashes

Hashes for cassia_rag-0.1.4.tar.gz
Algorithm Hash digest
SHA256 9ff3262db2d73832bbc2f2a07d391fbff82937915febefdb5a0839d6141aa0e7
MD5 1c933a2deff5e9b03b83272e29a91373
BLAKE2b-256 3b22f6bd2434e48c2d920f9e88350e999cc0909f58bc83787ea8c72b8797a778

See more details on using hashes here.

File details

Details for the file cassia_rag-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: cassia_rag-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 17.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.6

File hashes

Hashes for cassia_rag-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 ad76dba6f39100ef249210f6fd9b7ffffe116fc6a379e13e5f9619e65f48f482
MD5 6bba3220b324b21d524d66515cf17a96
BLAKE2b-256 0f5b1d7d6a4a079e51ace5770a2ffb5b237b4af1b3a28f1e7837e76679b4a9ef

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