AIMC Topic: Mice

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Effective gene expression prediction from sequence by integrating long-range interactions.

Nature methods Oct 4, 2021
How noncoding DNA determines gene expression in different cell types is a major unsolved problem, and critical downstream applications in human genetics depend on improved solutions. Here, we report substantially improved gene expression prediction a...
Machine Learning Animals Mice Genomics Humans Gene Expression Regulation Nerve Net Genome Quantitative Trait Loci Epigenesis, Genetic Databases, Genetic Cell Line DNA
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A machine learning approach for single cell interphase cell cycle staging.

Scientific reports Sep 29, 2021
The cell nucleus is a tightly regulated organelle and its architectural structure is dynamically orchestrated to maintain normal cell function. Indeed, fluctuations in nuclear size and shape are known to occur during the cell cycle and alterations in...
Interphase Humans Animals Intravital Microscopy Image Processing, Computer-Assisted Microscopy, Fluorescence Single-Cell Analysis Mice Datasets as Topic Support Vector Machine Cell Nucleus Cell Line
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VEGA is an interpretable generative model for inferring biological network activity in single-cell transcriptomics.

Nature communications Sep 28, 2021
Deep learning architectures such as variational autoencoders have revolutionized the analysis of transcriptomics data. However, the latent space of these variational autoencoders offers little to no interpretability. To provide further biological ins...
Humans Mice Deep Learning Models, Genetic Animals Single-Cell Analysis Datasets as Topic RNA-Seq Gene Regulatory Networks
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Development of deep learning models for microglia analyses in brain tissue using DeePathology™ STUDIO.

Journal of neuroscience methods Sep 27, 2021
BACKGROUND: Interest in artificial intelligence-driven analysis of medical images has seen a steep increase in recent years. Thus, our paper aims to promote and facilitate the use of this state-of-the-art technology to fellow researchers and clinicia...
Deep Learning Artificial Intelligence Image Processing, Computer-Assisted Brain Mice Animals Microglia
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Partitioning variability in animal behavioral videos using semi-supervised variational autoencoders.

PLoS computational biology Sep 22, 2021
Recent neuroscience studies demonstrate that a deeper understanding of brain function requires a deeper understanding of behavior. Detailed behavioral measurements are now often collected using video cameras, resulting in an increased need for comput...
Unsupervised Machine Learning Supervised Machine Learning Markov Chains Video Recording Behavior, Animal Animals Mice Computational Biology Neural Networks, Computer Models, Statistical Artificial Intelligence Algorithms Computer Simulation
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Peak learning of mass spectrometry imaging data using artificial neural networks.

Nature communications Sep 20, 2021
Mass spectrometry imaging (MSI) is an emerging technology that holds potential for improving, biomarker discovery, metabolomics research, pharmaceutical applications and clinical diagnosis. Despite many solutions being developed, the large data size ...
Humans Neural Networks, Computer Kidney Disease Models, Animal Metabolomics Neoplasms Nonlinear Dynamics Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Algorithms Deep Learning Connective Tissue Reproducibility of Results Imaging, Three-Dimensional alpha-Defensins Animals Mice
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Cross-species behavior analysis with attention-based domain-adversarial deep neural networks.

Nature communications Sep 17, 2021
Since the variables inherent to various diseases cannot be controlled directly in humans, behavioral dysfunctions have been examined in model organisms, leading to better understanding their underlying mechanisms. However, because the spatial and tem...
Behavior, Animal Dopamine Coleoptera Caenorhabditis elegans Dopaminergic Neurons Mice, Inbred C57BL Parkinson Disease Attention Species Specificity Neural Networks, Computer Animals Mice Humans
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Precise Control of Customized Macrophage Cell Robot for Targeted Therapy of Solid Tumors with Minimal Invasion.

Small (Weinheim an der Bergstrasse, Germany) Sep 12, 2021
Injecting micro/nanorobots into the body to kill tumors is one of the ultimate ambitions for medical nanotechnology. However, injecting current micro/nanorobots based on 3D-printed biocompatible materials directly into blood vessels for targeted ther...
Nanoparticles Robotics Doxorubicin Animals Neoplasms Mice Macrophages Drug Delivery Systems
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Unified AI framework to uncover deep interrelationships between gene expression and Alzheimer's disease neuropathologies.

Nature communications Sep 10, 2021
Deep neural networks (DNNs) capture complex relationships among variables, however, because they require copious samples, their potential has yet to be fully tapped for understanding relationships between gene expression and human phenotypes. Here we...
Datasets as Topic Gene Expression Regulation Deep Learning Cohort Studies Humans Aged RNA-Seq Brain Mice Aged, 80 and over Female Animals Microglia Male Alzheimer Disease Sex Factors
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Markerless analysis of hindlimb kinematics in spinal cord-injured mice through deep learning.

Neuroscience research Sep 8, 2021
Rodent models are commonly used to understand the underlying mechanisms of spinal cord injury (SCI). Kinematic analysis, an important technique to measure dysfunction of locomotion after SCI, is generally based on the capture of physical markers plac...
Biomechanical Phenomena Spinal Cord Hindlimb Locomotion Spinal Cord Injuries Animals Deep Learning Mice Gait
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