[HTML][HTML] Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2

S Loguercio, BC Calverley, C Wang, D Shak, P Zhao… - Patterns, 2023 - cell.com
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …

[HTML][HTML] Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2

S Loguercio, BC Calverley, C Wang, D Shak, P Zhao… - Patterns, 2023 - ncbi.nlm.nih.gov
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …

[HTML][HTML] Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2

S Loguercio, BC Calverley, C Wang, D Shak, P Zhao… - Patterns, 2023 - cell.com
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …

Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2

S Loguercio, BC Calverley, C Wang, D Shak… - …, 2023 - scholars.northwestern.edu
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …

[HTML][HTML] Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2

S Loguercio, BC Calverley, C Wang, D Shak, P Zhao… - Patterns, 2023 - Elsevier
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …

Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2

S Loguercio, BC Calverley, C Wang… - … (New York, NY), 2023 - pubmed.ncbi.nlm.nih.gov
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …

[PDF][PDF] Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2

S Loguercio, BC Calverley, C Wang, D Shak, P Zhao… - scienceopen.com
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …

Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2.

S Loguercio, BC Calverley, C Wang, D Shak… - Patterns (New York …, 2023 - europepmc.org
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …

Understanding the host-pathogen evolutionary balance through Gaussian process modeling of SARS-CoV-2.

S Loguercio, BC Calverley, C Wang, D Shak… - Patterns (New York …, 2023 - europepmc.org
We have developed a machine learning (ML) approach using Gaussian process (GP)-based
spatial covariance (SCV) to track the impact of spatial-temporal mutational events driving …