AIMC Topic: Computer Simulation

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Localizing and Classifying Adaptive Targets with Trend Filtered Regression.

Molecular biology and evolution Feb 1, 2019
Identifying genomic locations of natural selection from sequence data is an ongoing challenge in population genetics. Current methods utilizing information combined from several summary statistics typically assume no correlation of summary statistics...
Regression Analysis Genome, Human Genetic Techniques Software Computer Simulation Models, Genetic Genetics, Population Humans Machine Learning
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Causal models adjusting for time-varying confounding-a systematic review of the literature.

International journal of epidemiology Feb 1, 2019
BACKGROUND: Obtaining unbiased causal estimates from longitudinal observational data can be difficult due to exposure-affected time-varying confounding. The past decade has seen considerable development in methods for analysing such complex longitudi...
Computer Simulation Mental Health Health Status Humans Machine Learning Bias Causality Probability Models, Statistical Confounding Factors, Epidemiologic Data Interpretation, Statistical
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Lyapunov functional for virus infection model with diffusion and state-dependent delays.

Mathematical biosciences and engineering : MBE Jan 29, 2019
In this paper, a virus dynamics model with diffusion, state-dependent delays and a general nonlinear functional response is investigated. At first, the dynamical system is constructed on a nonlinear metric space. Then the stability of the interior eq...
Computer Simulation Time Factors Cell Survival Humans Neural Networks, Computer Algorithms Models, Biological Virus Diseases Diffusion Nonlinear Dynamics
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A new ensemble residual convolutional neural network for remaining useful life estimation.

Mathematical biosciences and engineering : MBE Jan 28, 2019
Remaining useful life (RUL) estimation is one of the most important component in prognostic health management (PHM) system in modern industry. It defined as the length from the current time to the end of the useful life. With the rapid development of...
Fuzzy Logic Internet Linear Models Longevity Deep Learning Time Factors Neural Networks, Computer Support Vector Machine Algorithms Computer Simulation Prognosis Learning
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An account of in silico identification tools of secreted effector proteins in bacteria and future challenges.

Briefings in bioinformatics Jan 18, 2019
Bacterial pathogens secrete numerous effector proteins via six secretion systems, type I to type VI secretion systems, to adapt to new environments or to promote virulence by bacterium-host interactions. Many computational approaches have been used i...
Host Microbial Interactions Humans Neural Networks, Computer Bayes Theorem Bacterial Proteins Models, Biological Computer Simulation Virulence Machine Learning Computational Biology Markov Chains Algorithms Support Vector Machine Bacterial Secretion Systems Databases, Factual
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Facilitating prediction of adverse drug reactions by using knowledge graphs and multi-label learning models.

Briefings in bioinformatics Jan 18, 2019
Timely identification of adverse drug reactions (ADRs) is highly important in the domains of public health and pharmacology. Early discovery of potential ADRs can limit their effect on patient lives and also make drug development pipelines more robus...
Drug-Related Side Effects and Adverse Reactions Knowledge Bases Adverse Drug Reaction Reporting Systems Databases, Pharmaceutical Computer Simulation Computational Biology Models, Statistical Humans Machine Learning
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The 18th FRAME Annual Lecture, October 2019: Human Trials in Pharmacology.

Alternatives to laboratory animals : ATLA Jan 1, 2019
Safety and efficacy testing is a crucial part of the drug development process, and several different methods are used to obtain the necessary data (e.g. testing, animal trials and clinical trials). Our group has been investigating the potential of m...
Pharmacology Humans Computer Simulation Animals
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Predicting Influenza A Tropism with End-to-End Learning of Deep Networks.

Health security Jan 1, 2019
The type of host that a virus can infect, referred to as host specificity or tropism, influences infectivity and thus is important for disease diagnosis, epidemic response, and prevention. Advances in DNA sequencing technology have enabled rapid meta...
Phenotype Computer Simulation Animals Humans Neural Networks, Computer Machine Learning Influenza in Birds Birds Genotype Influenza A virus Influenza, Human Models, Biological Viral Tropism
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Evolutionary Innovations and Where to Find Them: Routes to Open-Ended Evolution in Natural and Artificial Systems.

Artificial life Jan 1, 2019
This article presents a high-level conceptual framework to help orient the discussion and implementation of open-endedness in evolutionary systems. Drawing upon earlier work by Banzhaf et al. (2016), three different kinds of open-endedness are identi...
Artificial Intelligence Computer Simulation Biology Models, Biological Biological Evolution Systems Theory
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Comparison of support vector machines based on particle swarm optimization and genetic algorithm in sleep staging.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2019
BACKGROUND: Heart rate variability (HRV) can reflect the relationship between heart rhythm and sleep structure.
Biomarkers Computer Simulation Humans Electrocardiography Support Vector Machine Algorithms Heart Rate Sleep Stages
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