Thomas Lengauer
Biographic Data
| ID | 7747598 |
|---|---|
| NAME | Thomas Lengauer |
| GIVEN NAMES | Thomas |
| FAMILY NAME | Lengauer |
| SIGNATURE | LENGAUER T |
| AFFILIATIONS | Max Planck Institute for Informatics |
| ORCID | 0000-0003-3801-2640 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 1991 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Applying Ethics in the Handling of Dual Use Research
With regard to the handling of dual use research, the dominant approach in Germany aimed at mitigating dual use risks emphasizes the freedom of research and the strengthening of academic self-regulation. This article presents this approach as one example for a framework for handling security-relevant research, underlines the need for awareness-raising about risks of security-relevant research, and, more generally, highlights some of the dilemmas …
Respiratory viruses dynamics and interactions
The analysis of respiratory viruses dynamics in monoinfection and coinfection contributes to the prevention, diagnostic, treatment, and development of new therapeutics. Data obtained from multiplex testing is fundamental for this analysis and should be prioritized over single pathogen testing
Rhinovirus prevalence as indicator for efficacy of measures against Sars-CoV-2
RV prevalence is negatively correlated with the stringency of anti-SARS-CoV-2 measures with only a short time delay. This result suggests that RV prevalence could possibly be an indicator for the efficiency for these measures. As RV is ubiquitous at higher prevalence than SARS-CoV-2 or other emerging respiratory viruses, it could reflect the efficacy of noninvasive measures better than such emerging viruses themselves with their unevenly spreadin…
Permutation importance
Motivation: In life sciences, interpretability of machine learning models is as important as their prediction accuracy. Linear models are probably the most frequently used methods for assessing feature relevance, despite their relative inflexibility. However, in the past years effective estimators of feature relevance have been derived for highly complex or non-parametric models such as support vector machines and RandomForest (RF) models. Recent…
Bioinformatics ‐ From Genomes to Drugs
Efficient algorithms for path problems with general cost criteria
No prominent works on this page.
Efficient algorithms for path problems with general cost criteria
Bioinformatics ‐ From Genomes to Drugs
Permutation importance
Motivation: In life sciences, interpretability of machine learning models is as important as their prediction accuracy. Linear models are probably the most frequently used methods for assessing feature relevance, despite their relative inflexibility. However, in the past years effective estimators of feature relevance have been derived for highly complex or non-parametric models such as support vector machines and RandomForest (RF) models. Recent…
Rhinovirus prevalence as indicator for efficacy of measures against Sars-CoV-2
RV prevalence is negatively correlated with the stringency of anti-SARS-CoV-2 measures with only a short time delay. This result suggests that RV prevalence could possibly be an indicator for the efficiency for these measures. As RV is ubiquitous at higher prevalence than SARS-CoV-2 or other emerging respiratory viruses, it could reflect the efficacy of noninvasive measures better than such emerging viruses themselves with their unevenly spreadin…
Respiratory viruses dynamics and interactions
The analysis of respiratory viruses dynamics in monoinfection and coinfection contributes to the prevention, diagnostic, treatment, and development of new therapeutics. Data obtained from multiplex testing is fundamental for this analysis and should be prioritized over single pathogen testing
Applying Ethics in the Handling of Dual Use Research
With regard to the handling of dual use research, the dominant approach in Germany aimed at mitigating dual use risks emphasizes the freedom of research and the strengthening of academic self-regulation. This article presents this approach as one example for a framework for handling security-relevant research, underlines the need for awareness-raising about risks of security-relevant research, and, more generally, highlights some of the dilemmas …
Artificial Intelligence (2 works) · Biostatistics (2 works) · Computer Science (2 works) · Coronavirus disease 2019 (COVID-19 (2 works) · Disease (2 works) · Environmental health (2 works) · Epidemiology (2 works) · Infectious disease (medical specialty (2 works) · Influenza Virus Research Studies (2 works) · Internal Medicine (2 works)