Papers: 10.26508/lsa.202000955

https://doi.org/10.26508/lsa.202000955

Profiling of immune dysfunction in COVID-19 patients allows early prediction of disease progression

Cited by: 52
Author(s): André F. Rendeiro, Joseph Casano, Charles Kyriakos Vorkas, Harjot Singh, Ayana Morales, Robert A. DeSimone, Grant Ellsworth, Rosemary Soave, Shashi N Kapadia, Kihachi Saito, Christopher D. Brown, Jingmei Hsu, Christopher Kyriakides, Steven Chiu, Luca Vincenzo Cappelli, Maria Teresa Cacciapuoti, Wayne Tam, Lorenzo Galluzzi, Paul D. Simonson, Olivier Elemento, Mirella Salvatore, Giorgio Inghirami
Published: over 5 years ago

Software Mentions 2

pypi: FlowKit
Flow Cytometry Toolkit
Papers that mentioned: 1
Very Likely Science (95)
pypi: statsmodels
Statistical computations and models for Python
Papers that mentioned: 277
Very Likely Science (90)