James Theiler
Biographic Data
| ID | 4095637 |
|---|---|
| NAME | James Theiler |
| GIVEN NAMES | James |
| FAMILY NAME | Theiler |
| SIGNATURE | THEILER J |
| AFFILIATIONS | Los Alamos National Laboratory |
| ORCID | 0000-0003-1888-3684 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1994 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Fast Evaluation of Viral Emerging Risks (Fever)
Viral pathogens can rapidly evolve, adapt to novel hosts, and evade human immunity. The early detection of emerging viral pathogens through biosurveillance coupled with rapid and accurate diagnostics are required to mitigate global pandemics. However, RNA viruses can mutate rapidly, hampering biosurveillance and diagnostic efforts. Here, we present a novel computational approach called FEVER (Fast Evaluation of Viral Emerging Risks) to design ass…
Two tools to test time series data for evidence of chaos and/or nonlinearity
No prominent works on this page.
Two tools to test time series data for evidence of chaos and/or nonlinearity
Fast Evaluation of Viral Emerging Risks (Fever)
Viral pathogens can rapidly evolve, adapt to novel hosts, and evade human immunity. The early detection of emerging viral pathogens through biosurveillance coupled with rapid and accurate diagnostics are required to mitigate global pandemics. However, RNA viruses can mutate rapidly, hampering biosurveillance and diagnostic efforts. Here, we present a novel computational approach called FEVER (Fast Evaluation of Viral Emerging Risks) to design ass…
Algorithm (1 work) · Applied Mathematics (1 work) · Autocorrelation (1 work) · Biology (1 work) · Chaos control and synchronization (1 work) · Complex Systems and Time Series Analysis (1 work) · Computational biology (1 work) · Computer Science (1 work) · Correlation (1 work) · Correlation dimension (1 work)