On Deep Landscape Exploration of COVID-19 Patients Cells and Severity Markers

• Published in: Frontiers in immunology Vol. 12; p. 705646
• Main Authors: Vázquez-Jiménez, Aarón, Avila-Ponce De León, Ugo Enrique, Matadamas-Guzman, Meztli, Muciño-Olmos, Erick Andrés, Martínez-López, Yoscelina E., Escobedo-Tapia, Thelma, Resendis-Antonio, Osbaldo
• Format: Journal Article
• Language: English
• Published: Frontiers Media S.A 16.09.2021
• Subjects: cell heterogeneity; COVID-19; immune landscape; immune system; Immunology; machine-learning; single-cell analysis

COVID-19 is a disease with a spectrum of clinical responses ranging from moderate to critical. To study and control its effects, a large number of researchers are focused on two substantial aims. On the one hand, the discovery of diverse biomarkers to classify and potentially anticipate the disease...