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

Papers: 10.1038/s41598-020-74705-6

https://doi.org/10.1038/s41598-020-74705-6

Finding disease modules for cancer and COVID-19 in gene co-expression networks with the Core&Peel method

Cited by: 5
Author(s): Marta Lucchetta, Marco Pellegrini
Published: almost 5 years ago

Software Mentions 5

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: enrichR
Provides an R Interface to 'Enrichr'
Papers that mentioned: 60
Likely Science (58)
cran: gProfileR
Interface to the 'g:Profiler' Toolkit
Papers that mentioned: 56
Very Likely Science (75)
cran: gprofiler2
Interface to the 'g:Profiler' Toolset
Papers that mentioned: 21
Very Likely Science (75)