10.3390/genes11070792 | Papers | Ecosyste.ms: Papers

Papers: 10.3390/genes11070792

Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation

Cited by: 21
Author(s): Liang Chen, Yuyao Zhai, Qiuyan He, Weinan Wang, Minghua Deng
Published: about 5 years ago

A tool for unsupervised projection of single cell RNA-seq data
Papers that mentioned: 34

Very Likely Science (100)

Reference-Based Single-Cell RNA-Seq Annotation
Papers that mentioned: 97

Very Likely Science (100)

Single Cell Analysis and Differential Expression
Papers that mentioned: 4

Very Likely Science (100)

An Iterative Transfer learning algorithm for scRNA-seq Clustering
Papers that mentioned: 2

Very Likely Science (100)

Assigns rgb colors to points on sphere.
Papers that mentioned: 34

Very Likely Science (65)