An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1186/s12859-019-2952-9

https://doi.org/10.1186/s12859-019-2952-9

Deconvolution of autoencoders to learn biological regulatory modules from single cell mRNA sequencing data

Cited by: 19
Author(s): Savvas Kinalis, Finn Cilius Nielsen, Ole Winther, Frederik Otzen Bagger
Published: about 6 years ago

Software Mentions 4

bioconductor: ADAM
ADAM: Activity and Diversity Analysis Module
Papers that mentioned: 482
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: SC3
Single-Cell Consensus Clustering
Papers that mentioned: 71
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)