Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Papers: 10.1038/s41422-020-00455-9

https://doi.org/10.1038/s41422-020-00455-9

Discriminating mild from critical COVID-19 by innate and adaptive immune single-cell profiling of bronchoalveolar lavages

Cited by: 203
Author(s): Els Wauters, Pierre Van Mol, Abhishek D. Garg, S.L. Jansen, Yannick Van Herck, Lore Vanderbeke, Ayse Bassez, Bram Boeckx, Bert Malengier‐Devlies, Anna Timmerman, Thomas Van Brussel, Tina Van Buyten, Rogier Schepers, Elisabeth Heylen, Dieter Dauwe, Christophe Dooms, Jan Gunst, Greet Hermans, Philippe Meersseman, Dries Testelmans, Jonas Yserbyt, Sabine Tejpar, Walter De Wever, Patrick Matthys, Maria Bosisio, Michaël P Casaer, Frederik De Smet, Paul De Munter, Stéphanie Humblet-Baron, Adrian Liston, Natalie Lorent, Kim Martinod, Paul Proost, Jeroen Raes, Karin Thevissen, Robin Vos, Birgit Weynand, Carine Wouters, Johan Neyts, Joost Wauters, Junbin Qian, Diether Lambrechts
Published: almost 4 years ago

Software Mentions 6

bioconductor: AUCell
AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data (e.g. identify cells with specific gene signatures)
Papers that mentioned: 45
cran: igraph
Network Analysis and Visualization
Papers that mentioned: 1,555
cran: Seurat
Tools for Single Cell Genomics
Papers that mentioned: 1,512
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
pypi: CellPhoneDB
Inferring cell-cell communication.
Papers that mentioned: 89
pypi: igraph
High performance graph data structures and algorithms
Papers that mentioned: 1,555