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

Papers: 10.1371/journal.pgen.1002531

https://doi.org/10.1371/journal.pgen.1002531

A Machine Learning Approach for Identifying Novel Cell Type–Specific Transcriptional Regulators of Myogenesis

Cited by: 34
Author(s): Brian W. Busser, Leila Taher, Yongsok Kim, Terese R. Tansey, Molly J. Bloom, Ivan Ovcharenko, Alan M. Michelson
Published: over 13 years ago

Software Mentions 3

bioconductor: MAST
Model-based Analysis of Single Cell Transcriptomics
Papers that mentioned: 668
Very Likely Science (100)
pypi: MAST
MAterials Simulation Toolkit
Papers that mentioned: 668
Very Likely Science (75)
pypi: STAMP
A graphical software package for analyzing taxonomic and functional profiles.
Papers that mentioned: 1,190
Very Likely Science (65)