Metadata-Version: 2.1
Name: combinatorial_peptide_pooling
Version: 0.0.26
Summary: TCR deorphanization using combinatorial pooling strategy
Project-URL: Homepage, https://github.com/meyer-lab-cshl/combinatorial_pooling
Project-URL: Bug Tracker, https://github.com/meyer-lab-cshl/combinatorial_pooling/issues
Author-email: Vasilisa Kovaleva <vasilisa.kovaliova@gmail.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: cvxpy>=1.3.2
Requires-Dist: numpy>=1.23.5
Requires-Dist: pandas>=1.5.3
Requires-Dist: trimesh>=3.23.5
Description-Content-Type: text/markdown

# Combinatorial peptide pooling

## Intro

This python package provides an algorithm for combinatorial peptide pooling. It is able to provide a used with a peptide pooling scheme, run simple experimental simulation with given peptides, and to determine which peptide led to activation of T-cell in the experiment with given peptide pooling scheme.

### Task


## Algorithm

## Installation

## Usage

### Requirements

### Shiny App

### Recommended parameters