Skip to main content

interaction-inference

Python package implementing an optimization based inference method to detect interaction between pairs of genes from cellular observations, together with tools for simulation of synthetic datasets and visualizations of performance.

For current research on the method applied to interaction detection see the repository here, and for an in depth explanation of the general optimization approach see my MSci thesis.

Installation

Package is available on PyPi and installable through pip via

pip install interaction-inference

Background and Examples

For a brief overiew of biological background and example usage of the package see the example notebook, which shows how to load and simulate datasets, run analysis methods and compute performance metrics on simulated data.

Metadata

Release files for interaction-inference 0.0.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for interaction-inference 0.0.1
File Size Uploaded
interaction_inference-0.0.1.tar.gz 188.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for interaction-inference 0.0.1
File Interpreter ABI Platform
interaction_inference-0.0.1-py3-none-any.whl Python 3 none any Details

Total release size: 212.4 kB

Release files / interaction_inference-0.0.1.tar.gz

Download URL interaction_inference-0.0.1.tar.gz
Size 188.1 kB
Tags Source
SHA-256 checksum
How to use checksums
318fa1979bcfc34eeedc35ba6d4e68b87c5ec435f91875aa11ace9688f4d54f2
BLAKE2b-256 checksum
How to use checksums
abdf8e18caf96d336af2dbdef7e787d8f77e27689cd16c8f7500110068e5ab17
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.11.4

Release files / interaction_inference-0.0.1-py3-none-any.whl

Download URL interaction_inference-0.0.1-py3-none-any.whl
Size 24.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
57de5d467b06d751f613ed51472266befe7eb1b7d5d069e302a6d64cdb438d13
BLAKE2b-256 checksum
How to use checksums
8b9f7cd893f8f3bd35a6e855a546cd73d2d6f563856592acbe63f54f36ce2149
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.0.1 CPython/3.11.4

Release history Release notifications | RSS feed

This release

0.0.1 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page