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

Papers: 10.1038/s42003-021-02595-z

https://doi.org/10.1038/s42003-021-02595-z

Single-cell profiling defines the prognostic benefit of CD39high tissue resident memory CD8+ T cells in luminal-like breast cancer

Cited by: 9
Author(s): Agnese Losurdo, Caterina Scirgolea, Giorgia Alvisi, Jolanda Brummelman, Valentina Errico, Luca Di Tommaso, Karolina Pilipow, Federico Colombo, Bethania Fernandes, Clelia Peano, Alberto Testori, Corrado Tinterri, Massimo Roncalli, Armando Santoro, Emilia Maria Cristina Mazza, Enrico Lugli
Published: almost 4 years ago

Software Mentions 6

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: gene
gene
Papers that mentioned: 185
Very Likely Science (65)
pypi: PhenoGraph
Graph-based clustering for high-dimensional single-cell data
Papers that mentioned: 96
Very Likely Science (100)
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
Very Likely Science (100)