AIMC Topic: Bayes Theorem

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A machine learning Automated Recommendation Tool for synthetic biology.

Nature communications Sep 25, 2020
Synthetic biology allows us to bioengineer cells to synthesize novel valuable molecules such as renewable biofuels or anticancer drugs. However, traditional synthetic biology approaches involve ad-hoc engineering practices, which lead to long develop...
Beer Dodecanol Machine Learning Biofuels Escherichia coli Bayes Theorem Saccharomyces cerevisiae Fatty Acids Metabolic Engineering Synthetic Biology
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Comparison of Scaling Methods to Obtain Calibrated Probabilities of Activity for Protein-Ligand Predictions.

Journal of chemical information and modeling Sep 21, 2020
In the context of bioactivity prediction, the question of how to calibrate a score produced by a machine learning method into a probability of binding to a protein target is not yet satisfactorily addressed. In this study, we compared the performance...
Bayes Theorem Ligands Probability Machine Learning Support Vector Machine
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Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life.

BMC bioinformatics Sep 21, 2020
BACKGROUND: It is a computational challenge for current metagenomic classifiers to keep up with the pace of training data generated from genome sequencing projects, such as the exponentially-growing NCBI RefSeq bacterial genome database. When new ref...
Bacteria Gastrointestinal Microbiome Sequence Analysis, DNA Humans Bayes Theorem Metagenome Machine Learning Metagenomics Genome, Bacterial Algorithms
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Biomechanical monitoring and machine learning for the detection of lying postures.

Clinical biomechanics (Bristol, Avon) Sep 20, 2020
BACKGROUND: Pressure mapping technology has been adapted to monitor over prolonged periods to evaluate pressure ulcer risk in individuals during extended lying postures. However, temporal pressure distribution signals are not currently used to identi...
Humans Movement Bayes Theorem Machine Learning Mechanical Phenomena Biomechanical Phenomena Male Posture
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Using Chou's 5-steps rule to identify N-methyladenine sites by ensemble learning combined with multiple feature extraction methods.

Journal of biomolecular structure & dynamics Sep 18, 2020
-methyladenine (m6A), a type of modification mostly affecting the downstream biological functions and determining the levels of gene expression, is mediated by the methylation of adenine in nucleic acids. It is also a key factor for influencing biolo...
Mice Machine Learning Bayes Theorem Humans Computational Biology Algorithms Adenine Support Vector Machine Animals
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Training deep neural density estimators to identify mechanistic models of neural dynamics.

eLife Sep 17, 2020
Mechanistic modeling in neuroscience aims to explain observed phenomena in terms of underlying causes. However, determining which model parameters agree with complex and stochastic neural data presents a significant challenge. We address this challen...
Bayes Theorem Neurons Animals Mice Rats Machine Learning Algorithms Neural Networks, Computer
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Development of Machine Learning Models to Validate a Medication Regimen Complexity Scoring Tool for Critically Ill Patients.

The Annals of pharmacotherapy Sep 15, 2020
INTRODUCTION: The Medication Regimen Complexity -Intensive Care Unit (MRC-ICU) is the first tool for measuring medication regimen complexity in critically ill patients. This study tested machine learning (ML) models to investigate the relationship be...
Hospitalization Aged Aged, 80 and over Intensive Care Units Female Hospital Mortality Bayes Theorem APACHE Adult Male Middle Aged Humans Machine Learning Retrospective Studies Critical Illness Medication Reconciliation
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Machine learning at the interface of structural health monitoring and non-destructive evaluation.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences Sep 14, 2020
While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities...
Ultrasonics Data Compression Engineering Robotics Bayes Theorem Signal Processing, Computer-Assisted Manufacturing and Industrial Facilities Humans Machine Learning Algorithms Regression Analysis
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Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers.

Journal of translational medicine Sep 14, 2020
BACKGROUND: To introduce the Hemorrhage Intensive Severity and Survivability (HISS) score, based on the fusion of multi-biomarker data; glucose, lactate, pH, potassium, and oxygen tension, to serve as a patient-specific attribute in hemorrhagic traum...
Bayes Theorem Hemorrhage Neural Networks, Computer Algorithms Biomarkers Humans
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Interactive machine learning for fast and robust cell profiling.

PloS one Sep 11, 2020
Automated profiling of cell morphology is a powerful tool for inferring cell function. However, this technique retains a high barrier to entry. In particular, configuring image processing parameters for optimal cell profiling is susceptible to cognit...
Microscopy Algorithms Humans Image Processing, Computer-Assisted Machine Learning Bayes Theorem
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