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

Papers: 10.1126/sciimmunol.abe1670

https://doi.org/10.1126/sciimmunol.abe1670

MAIT cell activation and dynamics associated with COVID-19 disease severity

Cited by: 138
Author(s): Tiphaine Parrot, Jean‐Baptiste Gorin, Andrea Ponzetta, Kimia T. Maleki, Tobias Kammann, Johanna Emgård, André Perez‐Potti, Takuya Sekine, Olga Rivera‐Ballesteros, Sara Gredmark‐Russ, Olav Rooyackers, Elin Folkesson, Lars Eriksson, Anna Norrby‐Teglund, Hans‐Gustaf Ljunggren, Niklas K. Björkström, Soo Aleman, Marcus Buggert, Jonas Klingström, Kristoffer Strålin, Johan K. Sandberg
Published: almost 5 years ago

Software Mentions 4

cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
Very Likely Science (100)
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)
pypi: StandardScaler
Standard scale your data
Papers that mentioned: 48
Very Likely Science (65)