AIMC Topic: Bayes Theorem

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Predicting Mouse Liver Microsomal Stability with "Pruned" Machine Learning Models and Public Data.

Pharmaceutical research Sep 28, 2015
PURPOSE: Mouse efficacy studies are a critical hurdle to advance translational research of potential therapeutic compounds for many diseases. Although mouse liver microsomal (MLM) stability studies are not a perfect surrogate for in vivo studies of m...
Principal Component Analysis Bayes Theorem Pharmaceutical Preparations Small Molecule Libraries Databases, Pharmaceutical Animals Drug Discovery Machine Learning Mice Models, Biological Microsomes, Liver
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A Bayesian Model of the Uncanny Valley Effect for Explaining the Effects of Therapeutic Robots in Autism Spectrum Disorder.

PloS one Sep 21, 2015
One of the core features of autism spectrum disorder (ASD) is impaired reciprocal social interaction, especially in processing emotional information. Social robots are used to encourage children with ASD to take the initiative and to interact with th...
Bayes Theorem Child Interpersonal Relations Emotions Psychotherapy Humans Robotics Models, Psychological Pattern Recognition, Visual Algorithms Autism Spectrum Disorder
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Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences.

Artificial intelligence in medicine Sep 8, 2015
OBJECTIVES: Inspired by real-world examples from the forensic medical sciences domain, we seek to determine whether a decision about an interventional action could be subject to amendments on the basis of some incomplete information within the model,...
Computer Simulation Risk Factors Information Storage and Retrieval Risk Assessment Violence Humans Models, Statistical Causality Neural Networks, Computer Uncertainty Bayes Theorem Decision Support Techniques Choice Behavior Forensic Medicine
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A tree-like Bayesian structure learning algorithm for small-sample datasets from complex biological model systems.

BMC systems biology Aug 28, 2015
BACKGROUND: There are increasing efforts to bring high-throughput systems biology techniques to bear on complex animal model systems, often with a goal of learning about underlying regulatory network structures (e.g., gene regulatory networks). Howev...
Gene Expression Profiling Systems Biology Bayes Theorem Malaria Machine Learning Algorithms Animals Transcription, Genetic Macaca mulatta
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Rediscovery of Good-Turing estimators via Bayesian nonparametrics.

Biometrics Jul 29, 2015
The problem of estimating discovery probabilities originated in the context of statistical ecology, and in recent years it has become popular due to its frequent appearance in challenging applications arising in genetics, bioinformatics, linguistics,...
Models, Statistical Data Interpretation, Statistical Bayes Theorem Pattern Recognition, Automated Expressed Sequence Tags Algorithms Computer Simulation Sequence Analysis, DNA Machine Learning
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A Bayesian approach to distinguishing interdigitated tongue muscles from limited diffusion magnetic resonance imaging.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 21, 2015
The tongue is a critical organ for a variety of functions, including swallowing, respiration, and speech. It contains intrinsic and extrinsic muscles that play an important role in changing its shape and position. Diffusion tensor imaging (DTI) has b...
Sensitivity and Specificity Muscle, Skeletal Diagnosis, Differential Image Interpretation, Computer-Assisted Pattern Recognition, Automated Bayes Theorem Tongue Machine Learning Algorithms Reproducibility of Results Humans Image Enhancement Diffusion Magnetic Resonance Imaging
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Relevance Vector Machines: Sparse Classification Methods for QSAR.

Journal of chemical information and modeling Jul 21, 2015
Sparse machine learning methods have provided substantial benefits to quantitative structure property modeling, as they make model interpretation simpler and generate models with improved predictivity. Sparsity is usually induced via Bayesian regular...
Bayes Theorem Algorithms Quantitative Structure-Activity Relationship Support Vector Machine
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Binding Activity Prediction of Cyclin-Dependent Inhibitors.

Journal of chemical information and modeling Jul 10, 2015
The Cyclin-Dependent Kinases (CDKs) are the core components coordinating eukaryotic cell division cycle. Generally the crystal structure of CDKs provides information on possible molecular mechanisms of ligand binding. However, reliable and robust est...
Protein Kinase Inhibitors Chromosomes Cyclin-Dependent Kinases Models, Molecular Bayes Theorem Protein Conformation Machine Learning Support Vector Machine Decision Trees Algorithms Protein Binding
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Near-Bayesian Support Vector Machines for imbalanced data classification with equal or unequal misclassification costs.

Neural networks : the official journal of the International Neural Network Society Jul 8, 2015
Support Vector Machines (SVMs) form a family of popular classifier algorithms originally developed to solve two-class classification problems. However, SVMs are likely to perform poorly in situations with data imbalance between the classes, particula...
Datasets as Topic Data Interpretation, Statistical Bayes Theorem Algorithms Artifacts Support Vector Machine
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Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery.

PLoS neglected tropical diseases Jun 26, 2015
BACKGROUND: Chagas disease is a neglected tropical disease (NTD) caused by the eukaryotic parasite Trypanosoma cruzi. The current clinical and preclinical pipeline for T. cruzi is extremely sparse and lacks drug target diversity.
Mice Computational Biology Disease Models, Animal Female Animals Drug Discovery Genome, Protozoan Bayes Theorem High-Throughput Screening Assays Mice, Inbred BALB C Trypanosoma cruzi Humans Chagas Disease Cell Line Machine Learning Metabolic Networks and Pathways Trypanocidal Agents
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