Single cell data explosion: Deep learning to the rescue

TL;DR

This paper discusses how deep learning techniques are revolutionizing the analysis of the rapidly growing single-cell multi-omics data in biosciences.

Contribution

It highlights the application of deep learning methods to manage and interpret the explosion of single-cell multi-omics datasets.

Findings

Deep learning enhances analysis of single-cell data

Improves integration of multi-omics datasets

Facilitates discovery of new biological insights

Abstract

The plethora of single-cell multi-omics data is getting treatment with deep learning, a revolutionary method in artificial intelligence, which has been increasingly expanding its reign over the bioscience frontiers.