AIMC Topic: Mice

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Cell type prioritization in single-cell data.

Nature biotechnology Jul 20, 2020
We present Augur, a method to prioritize the cell types most responsive to biological perturbations in single-cell data. Augur employs a machine-learning framework to quantify the separability of perturbed and unperturbed cells within a high-dimensio...
Animals Gene Expression Profiling Transcriptome Single-Cell Analysis Machine Learning Databases, Genetic Mice Walking Computational Biology Sequence Analysis, RNA Nerve Net Rats Chromatin
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Cross-species regulatory sequence activity prediction.

PLoS computational biology Jul 20, 2020
Machine learning algorithms trained to predict the regulatory activity of nucleic acid sequences have revealed principles of gene regulation and guided genetic variation analysis. While the human genome has been extensively annotated and studied, mod...
Epigenomics Models, Genetic Databases, Genetic Sequence Analysis, DNA Hepatocytes Genetic Variation Gene Expression Regulation Models, Statistical Animals Humans Mutation Mice Genomics Neural Networks, Computer Computational Biology Machine Learning Genome, Human Software Species Specificity Algorithms Quantitative Trait Loci
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Deep learning-based classification of the mouse estrous cycle stages.

Scientific reports Jul 16, 2020
There is a rapidly growing demand for female animals in preclinical animal, and thus it is necessary to determine animals' estrous cycle stages from vaginal smear cytology. However, the determination of estrous stages requires extensive training, tak...
Estrous Cycle Data Accuracy Vagina Male Deep Learning ROC Curve Neural Networks, Computer Vaginal Smears Female Epithelial Cells Adult Area Under Curve Mice Humans Sensitivity and Specificity Leukocytes Mice, Inbred C57BL Animals
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In vitro and in silico genetic toxicity screening of flavor compounds and other ingredients in tobacco products with emphasis on ENDS.

Journal of applied toxicology : JAT Jul 13, 2020
Electronic nicotine delivery systems (ENDS) are regulated tobacco products and often contain flavor compounds. Given the concern of increased use and the appeal of ENDS by young people, evaluating the potential of flavors to induce DNA damage is impo...
Consumer Product Safety Quantitative Structure-Activity Relationship Mutagenicity Tests Histones Electronic Nicotine Delivery Systems Mice Rats Cell Line Phosphorylation Flow Cytometry Tumor Suppressor Protein p53 Flavoring Agents Models, Molecular DNA Damage Machine Learning Biomarkers Animals Risk Assessment Humans
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Automated design and optimization of multitarget schizophrenia drug candidates by deep learning.

European journal of medicinal chemistry Jul 12, 2020
Complex neuropsychiatric diseases such as schizophrenia require drugs that can target multiple G protein-coupled receptors (GPCRs) to modulate complex neuropsychiatric functions. Here, we report an automated system comprising a deep recurrent neural ...
Molecular Targeted Therapy Animals Receptors, Dopamine D2 Schizophrenia Receptor, Serotonin, 5-HT1A Drug Discovery Deep Learning Automation Mice Receptor, Serotonin, 5-HT2A
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Neural networks of different species, brain areas and states can be characterized by the probability polling state.

The European journal of neuroscience Jul 11, 2020
Cortical networks are complex systems of a great many interconnected neurons that operate from collective dynamical states. To understand how cortical neural networks function, it is important to identify their common dynamical operating states from ...
Mice Models, Neurological Neurons Probability Entropy Neural Networks, Computer Brain Animals
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Rage Against the Machine: Advancing the study of aggression ethology via machine learning.

Psychopharmacology Jul 9, 2020
RATIONALE: Aggression, comorbid with neuropsychiatric disorders, exhibits with diverse clinical presentations and places a significant burden on patients, caregivers, and society. This diversity is observed because aggression is a complex behavior th...
Humans Machine Learning Reproducibility of Results Animals Ethology Mice Reward Social Behavior Aggression
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Time-resolved neurotransmitter detection in mouse brain tissue using an artificial intelligence-nanogap.

Scientific reports Jul 9, 2020
The analysis of neurotransmitters in the brain helps to understand brain functions and diagnose Parkinson's disease. Pharmacological inhibition experiments, electrophysiological measurement of action potentials, and mass analysers have been applied f...
Artificial Intelligence Machine Learning Brain Female Nanotechnology Cerebral Cortex Dopamine Single Molecule Imaging Neurotransmitter Agents Serotonin Parkinson Disease Animals Electric Conductivity Mice Brain Mapping Action Potentials Norepinephrine Mice, Inbred C57BL Electrodes
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Probing the characteristics and biofunctional effects of disease-affected cells and drug response via machine learning applications.

Critical reviews in biotechnology Jul 7, 2020
Drug-induced transformations in disease characteristics at the cellular and molecular level offers the opportunity to predict and evaluate the efficacy of pharmaceutical ingredients whilst enabling the optimal design of new and improved drugs with en...
Mice Principal Component Analysis Drug Monitoring Models, Biological Drug Evaluation, Preclinical Cells, Cultured Computer Simulation Animals Image Processing, Computer-Assisted Cytological Techniques Humans Machine Learning
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Selective Neuronal Vulnerability in Alzheimer's Disease: A Network-Based Analysis.

Neuron Jun 29, 2020
A major obstacle to treating Alzheimer's disease (AD) is our lack of understanding of the molecular mechanisms underlying selective neuronal vulnerability, a key characteristic of the disease. Here, we present a framework integrating high-quality neu...
Neurons Alzheimer Disease Gene Expression Profiling Humans Transcriptome Machine Learning Gene Regulatory Networks Animals Mice Aging
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