AIMC Topic: Algorithms

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Using Machine Learning-Based Multianalyte Delta Checks to Detect Wrong Blood in Tube Errors.

American journal of clinical pathology Oct 24, 2018
OBJECTIVES: An unfortunate reality of laboratory medicine is that blood specimens collected from one patient occasionally get mislabeled with identifiers from a different patient, resulting in so-called "wrong blood in tube" (WBIT) errors and potenti...
Machine Learning Algorithms Patient Safety Humans Blood Specimen Collection Medical Errors
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Automatic method to monitor floating macroalgae blooms based on multilayer perceptron: case study of Yellow Sea using GOCI images.

Optics express Oct 15, 2018
Timely and accurate information about floating macroalgae blooms (MAB), including their distribution, movement, and duration, is crucial in order for local government and residents to grasp the whole picture, and then plan effectively to restrain eco...
Seaweed Humans Remote Sensing Technology Neural Networks, Computer Oceans and Seas Water Pollutants Algorithms Environmental Monitoring
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YAMDA: thousandfold speedup of EM-based motif discovery using deep learning libraries and GPU.

Bioinformatics (Oxford, England) Oct 15, 2018
MOTIVATION: Motif discovery in large biopolymer sequence datasets can be computationally demanding, presenting significant challenges for discovery in omics research. MEME, arguably one of the most popular motif discovery software, takes quadratic ti...
Algorithms Deep Learning Software Time Factors Computer Graphics
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Blind prediction of protein B-factor and flexibility.

The Journal of chemical physics Oct 7, 2018
The Debye-Waller factor, a measure of X-ray attenuation, can be experimentally observed in protein X-ray crystallography. Previous theoretical models have made strong inroads in the analysis of beta (B)-factors by linearly fitting protein B-factors f...
Computer Graphics Machine Learning Receptors, Fc Algorithms Animals Humans Databases, Protein Crystallography, X-Ray Elasticity Protein Conformation
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Detecting colorectal polyps via machine learning.

Nature biomedical engineering Oct 1, 2018
Colonoscopy Humans Colonic Polyps Machine Learning Algorithms
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Gene multifunctionality scoring using gene ontology.

Journal of bioinformatics and computational biology Oct 1, 2018
Multifunctional genes are important genes because of their essential roles in human cells. Studying and analyzing multifunctional genes can help understand disease mechanisms and drug discovery. We propose a computational method for scoring gene mult...
Biomedical Research Protein Interaction Maps Genetic Predisposition to Disease Humans Algorithms Reproducibility of Results Proteins Genome, Human PubMed Gene Ontology Genetic Association Studies Computational Biology Evolution, Molecular
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A systematic exploration of [Formula: see text] cutoff ranges in machine learning models for protein mutation stability prediction.

Journal of bioinformatics and computational biology Oct 1, 2018
Discerning how a mutation affects the stability of a protein is central to the study of a wide range of diseases. Mutagenesis experiments on physical proteins provide precise insights about the effects of amino acid substitutions, but such studies ar...
Mutation Protein Stability Random Allocation Amino Acid Substitution Computational Biology Neural Networks, Computer Support Vector Machine Machine Learning Proteins Algorithms
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Attractor dynamics of a Boolean model of a brain circuit controlled by multiple parameters.

Chaos (Woodbury, N.Y.) Oct 1, 2018
Studies of Boolean recurrent neural networks are briefly introduced with an emphasis on the attractor dynamics determined by the sequence of distinct attractors observed in the limit cycles. We apply this framework to a simplified model of the basal ...
Neural Networks, Computer Software Humans Neuronal Plasticity Neurons Nonlinear Dynamics Basal Ganglia Feedback Algorithms Animals Brain Models, Theoretical Computer Simulation
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Propagation delays determine neuronal activity and synaptic connectivity patterns emerging in plastic neuronal networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
In plastic neuronal networks, the synaptic strengths are adapted to the neuronal activity. Specifically, spike-timing-dependent plasticity (STDP) is a fundamental mechanism that modifies the synaptic strengths based on the relative timing of pre- and...
Oscillometry Synaptic Transmission Dendrites Plastics Neurons Axons Nerve Net Normal Distribution Nonlinear Dynamics Synapses Neuronal Plasticity Models, Neurological Action Potentials Brain Computer Simulation Time Factors Neural Networks, Computer Algorithms Humans
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Chaos versus noise as drivers of multistability in neural networks.

Chaos (Woodbury, N.Y.) Oct 1, 2018
The multistable behavior of neural networks is actively being studied as a landmark of ongoing cerebral activity, reported in both functional Magnetic Resonance Imaging (fMRI) and electro- or magnetoencephalography recordings. This consists of a cont...
Humans Neural Networks, Computer Algorithms Models, Neurological Data Collection Nonlinear Dynamics Synapses Temperature Magnetic Resonance Imaging Cluster Analysis Magnetoencephalography Neural Conduction Stochastic Processes Oscillometry Ion Channels
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