index.Rmd

--- 
title: "scMINER: a mutual information-based framework for identifying hidden drivers from single-cell omics data"
author: "Qingfei Pan"
date: "`r Sys.Date()`"
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description: "This is the full documentation of scMINER R package (v-1.1.0)."
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github-repo: jyyulab/scMINER_documentation
---

# <img src="images/scMINER_logo.png" alt="" width="250px"> {-}

---

Welcome to scMINER documentation!

**scMINER** (**s**ingle-**c**ell **M**utual **I**nformation-based **N**etwork **E**ngineering **R**anger) is a computational framework designed for **end-to-end** analysis of single cell RNA-seq data. Using [**mutual information**](https://en.wikipedia.org/wiki/Mutual_information) to measure cell-cell similarities and gene-gene correlations, scMINER is widely applicable and highly accurate in unsupervised clustering and gene activity inference of scRNA-seq data.

In this documentation, we will walk you through every analysis that scMINER can do and introduce you more about the concepts related to scMINER framework.

<center><img src="images/scMINER_overview.jpg" alt="centered image" width="700px"></center>