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: 10.1016/j.cels.2021.05.005

https://doi.org/10.1016/j.cels.2021.05.005

A time-resolved proteomic and prognostic map of COVID-19

Cited by: 106
Author(s): Vadim Demichev, Pinkus Tober‐Lau, Oliver Lemke, Tatiana Nazarenko, Charlotte Thibeault, Harry J. Whitwell, Annika Röhl, Anja Freiwald, Łukasz Szyrwiel, Daniela Ludwig, Clara Correia‐Melo, Simran Kaur Aulakh, Elisa T Helbig, Paula Stubbemann, Lena J Lippert, Nana‐Maria Grüning, Oleg Blyuss, Spyros Vernardis, Matthew White, Christoph B. Messner, Michael Joannidis, Thomas Sonnweber, Sebastian Klein, Alex Pizzini, Yvonne Wohlfarter, Sabina Sahanic, Richard Hilbe, Benedikt Schaefer, Sonja Wagner, Mirja Mittermaier, Felix Machleidt, Carmen García, Christoph Ruwwe‐Glösenkamp, Tilman Lingscheid, Laure Bosquillon de Jarcy, Miriam Stegemann, Moritz Pfeiffer, Linda Jürgens, Sophy Denker, Daniel Zickler, Philipp Enghard, Aleksej Zelezniak, Archie Campbell, Caroline Hayward, David J. Porteous, Riccardo E. Marioni, Alexander Uhrig, Holger Müller-Redetzky, Heinz Zoller, Judith Löffler‐Ragg
Published: about 3 years ago

Software Mentions 5

bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
cran: EnvStats
Package for Environmental Statistics, Including US EPA Guidance
Papers that mentioned: 24
pypi: scikit-learn
A set of python modules for machine learning and data mining
Papers that mentioned: 2,431
pypi: scipy
Fundamental algorithms for scientific computing in Python
Papers that mentioned: 1,071
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105