Skip to main content

MSIght is an open-source Python-based algorithm designed for proteome characterization from the automated integration of histology, LC-MS/MS, and MSI datasets.

Project description

Documentation Status Unit Tests PyPI version

MSIght

MSIght is a program produced by the Lingjun Li Lab at the University of Wisconsin-Madison for automated integration of H&E, MSI, and LC-MS/MS datasets

Getting started

Installation

You can install MSIght directly from PyPI:

pip install msight

Release notes

Version 0.0.1 (Released 9/17/2024)
  • Initial release

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

msight-1.0.5.tar.gz (71.0 MB view details)

Uploaded Source

Built Distribution

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

MSIght-1.0.5-py3-none-any.whl (71.4 MB view details)

Uploaded Python 3

File details

Details for the file msight-1.0.5.tar.gz.

File metadata

  • Download URL: msight-1.0.5.tar.gz
  • Upload date:
  • Size: 71.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for msight-1.0.5.tar.gz
Algorithm Hash digest
SHA256 9c13dda79b2532f78d7e7ba7898de3aba3001305e5692974ea97a15ba351c179
MD5 030c9d2c4f7056923bf81485c672ae2b
BLAKE2b-256 c5d46d8a5635b7ccaa2f520ef507272fae5edf4acf995b5f7bba207f95807cae

See more details on using hashes here.

File details

Details for the file MSIght-1.0.5-py3-none-any.whl.

File metadata

  • Download URL: MSIght-1.0.5-py3-none-any.whl
  • Upload date:
  • Size: 71.4 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for MSIght-1.0.5-py3-none-any.whl
Algorithm Hash digest
SHA256 09df92974cef5ce04b5acc5ede1444813f45d2be261d6ec8f3bbdfd54c9c1410
MD5 b84c3352a643863933f739ca31cd751c
BLAKE2b-256 6cd1a4c9a60b13943f46e18fdaa0a7d2cfefeb14a1e10a9ff6c0564e05dfdedc

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