AIMC Topic: Mice

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Quantifying ultrasonic mouse vocalizations using acoustic analysis in a supervised statistical machine learning framework.

Scientific reports May 30, 2019
Examination of rodent vocalizations in experimental conditions can yield valuable insights into how disease manifests and progresses over time. It can also be used as an index of social interest, motivation, emotional development or motor function de...
Supervised Machine Learning Motor Activity Motivation Social Behavior Ultrasonic Waves Male Behavior Observation Techniques Ultrasonics Female Mice Models, Animal Animals Vocalization, Animal Emotions
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Q&A: Understanding the composition of behavior.

BMC biology May 29, 2019
Understanding the brain requires understanding behavior. New machine vision and learning techniques are poised to revolutionize our ability to analyze behaviors exhibited by animals in the laboratory. Here we describe one such method, Motion Sequenci...
Ethology Rats Animals Behavior, Animal Machine Learning Imaging, Three-Dimensional Kinesics Mice
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CollaboNet: collaboration of deep neural networks for biomedical named entity recognition.

BMC bioinformatics May 29, 2019
BACKGROUND: Finding biomedical named entities is one of the most essential tasks in biomedical text mining. Recently, deep learning-based approaches have been applied to biomedical named entity recognition (BioNER) and showed promising results. Howev...
Humans Neural Networks, Computer Mice Models, Theoretical Animals Deep Learning Data Mining
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DeTerm: Software for automatic detection of neuronal dendritic branch terminals via an artificial neural network.

Genes to cells : devoted to molecular & cellular mechanisms May 28, 2019
Dendrites of neurons receive and process synaptic or sensory inputs. The Drosophila class IV dendritic arborization (da) neuron is an established model system to explore molecular mechanisms of dendrite morphogenesis. The total number of dendritic br...
Neurogenesis Drosophila Dendrites Purkinje Cells Neurons Cerebellum Drosophila Proteins Software Larva Neural Networks, Computer Animals Mice
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MHCSeqNet: a deep neural network model for universal MHC binding prediction.

BMC bioinformatics May 28, 2019
BACKGROUND: Immunotherapy is an emerging approach in cancer treatment that activates the host immune system to destroy cancer cells expressing unique peptide signatures (neoepitopes). Administrations of cancer-specific neoepitopes in the form of synt...
Histocompatibility Antigens Class I Protein Binding Mice Proteome Models, Biological Alleles Software Databases, Protein Animals Humans Area Under Curve Peptides Neural Networks, Computer
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Multiclass Classifier for P-Glycoprotein Substrates, Inhibitors, and Non-Active Compounds.

Molecules (Basel, Switzerland) May 25, 2019
P-glycoprotein (P-gp) is a transmembrane protein that actively transports a wide variety of chemically diverse compounds out of the cell. It is highly associated with the ADMET (absorption, distribution, metabolism, excretion and toxicity) properties...
Models, Theoretical Models, Molecular ATP Binding Cassette Transporter, Subfamily B, Member 1 Animals Drug Discovery Humans Mice Neural Networks, Computer
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Instant White Rice with Pigmented Giant Embryonic Rice Improves Glucose Metabolism and Inhibits Oxidative Stress in High-Fat Diet-Fed Mice.

International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition May 24, 2019
The effects of instant cooked rice made from a combination of white rice and pigmented giant embryonic Keunnunjami rice, in comparison with those of instant regular white or brown rice and instant non-pigmented giant embryonic brown rice, on the gluc...
Mice, Inbred C57BL Liver Diet, High-Fat Oxidative Stress Oryza Animals Random Allocation Mice Male Antioxidants Blood Glucose
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Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning.

Nature biomedical engineering May 20, 2019
Preclinical studies of psychiatric disorders use animal models to investigate the impact of environmental factors or genetic mutations on complex traits such as decision-making and social interactions. Here, we introduce a method for the real-time an...
Nerve Tissue Proteins Mice, Knockout Mutation Male Mice Disease Models, Animal Behavioral Research Social Behavior Microfilament Proteins Video Recording Autistic Disorder Behavior, Animal Female Animals Machine Learning Phenotype
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HOME: a histogram based machine learning approach for effective identification of differentially methylated regions.

BMC bioinformatics May 16, 2019
BACKGROUND: The development of whole genome bisulfite sequencing has made it possible to identify methylation differences at single base resolution throughout an entire genome. However, a persistent challenge in DNA methylome analysis is the accurate...
Machine Learning DNA Methylation Molecular Sequence Annotation Time Factors Algorithms Mice Computer Simulation Databases, Genetic Animals
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Discrimination of the hierarchical structure of cortical layers in 2-photon microscopy data by combined unsupervised and supervised machine learning.

Scientific reports May 15, 2019
The laminar organization of the cerebral cortex is a fundamental characteristic of the brain, with essential implications for cortical function. Due to the rapidly growing amount of high-resolution brain imaging data, a great demand arises for automa...
Supervised Machine Learning Neuroimaging Cerebral Cortex Animals Microscopy, Fluorescence, Multiphoton Mice Unsupervised Machine Learning
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