Metadata-Version: 2.1
Name: TFdisc
Version: 1.2.0
Summary: in silico transcription factor (TF) perturbation simulator
Home-page: https://github.com/ocean-debug/TFdisc
Author: Haiyang Wang
Author-email: your.email@example.com
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: scikit-learn
Requires-Dist: arboreto
Requires-Dist: tqdm
Requires-Dist: dask
Requires-Dist: rpy2
Requires-Dist: scanpy

# TFdisc 

***
TFdisc is a python library for Transcription factor perturbation simulation. TFdisc uses wild-type single-cell RNA sequencing (scRNA-seq) data to emulate corresponding scRNA-seq transcriptomes post-TF perturbations.TFdisc generates inferred transcriptomes for individual cells with single or multiple TFs perturbed. This simulated perturbed single-cell expression data mirrors actual experimental results, facilitating a wide range of downstream analyses.

## Installation

pip install TFdisc

## The tutorial for TFdisc

please refer to https://github.com/FduZhuLab/TFdisc

