AIMC Topic: Mice

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DNN-m6A: A Cross-Species Method for Identifying RNA N6-Methyladenosine Sites Based on Deep Neural Network with Multi-Information Fusion.

Genes Feb 28, 2021
As a prevalent existing post-transcriptional modification of RNA, N6-methyladenosine (m6A) plays a crucial role in various biological processes. To better radically reveal its regulatory mechanism and provide new insights for drug design, the accurat...
Adenosine Animals Mice Sequence Analysis, RNA RNA Humans Neural Networks, Computer
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Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images.

Annals of the New York Academy of Sciences Feb 26, 2021
We trained a deep learning algorithm to use skin optical coherence tomography (OCT) angiograms to differentiate between healthy and type 2 diabetic mice. OCT angiograms were acquired with a custom-built OCT system based on an akinetic swept laser at ...
Machine Learning Algorithms Female Reproducibility of Results Animals Case-Control Studies Deep Learning Tomography, Optical Coherence Diabetes Mellitus, Experimental Angiography Ear ROC Curve Image Processing, Computer-Assisted Mice Diagnosis, Differential
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Deep Learning for Automatic Segmentation of Hybrid Optoacoustic Ultrasound (OPUS) Images.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Feb 25, 2021
The highly complementary information provided by multispectral optoacoustics and pulse-echo ultrasound have recently prompted development of hybrid imaging instruments bringing together the unique contrast advantages of both modalities. In the hybrid...
Animals Deep Learning Ultrasonography Image Processing, Computer-Assisted Mice Neural Networks, Computer
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Single Cell RNA-Seq and Machine Learning Reveal Novel Subpopulations in Low-Grade Inflammatory Monocytes With Unique Regulatory Circuits.

Frontiers in immunology Feb 23, 2021
Subclinical doses of LPS (SD-LPS) are known to cause low-grade inflammatory activation of monocytes, which could lead to inflammatory diseases including atherosclerosis and metabolic syndrome. Sodium 4-phenylbutyrate is a potential therapeutic compou...
Lipopolysaccharides RNA-Seq Mice, Inbred C57BL Gene Regulatory Networks Quality Control Mice Machine Learning Phenylbutyrates Monocytes Animals Male Single-Cell Analysis
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Identification of RNA pseudouridine sites using deep learning approaches.

PloS one Feb 23, 2021
Pseudouridine(Ψ) is widely popular among various RNA modifications which have been confirmed to occur in rRNA, mRNA, tRNA, and nuclear/nucleolar RNA. Hence, identifying them has vital significance in academic research, drug development and gene thera...
Pseudouridine Computational Biology Humans RNA Animals Saccharomyces cerevisiae Deep Learning RNA, Ribosomal Mice
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Rapid 3D phenotypic analysis of neurons and organoids using data-driven cell segmentation-free machine learning.

PLoS computational biology Feb 22, 2021
Phenotypic profiling of large three-dimensional microscopy data sets has not been widely adopted due to the challenges posed by cell segmentation and feature selection. The computational demands of automated processing further limit analysis of hard-...
Programming Languages Mammary Glands, Human Organoids Cell Line Autophagy Microscopy, Fluorescence Humans Neurons Machine Learning Image Processing, Computer-Assisted Software Mice Algorithms Apoptosis Phenotype Mice, Inbred C57BL Brain Animals Imaging, Three-Dimensional
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4mCPred-CNN-Prediction of DNA N4-Methylcytosine in the Mouse Genome Using a Convolutional Neural Network.

Genes Feb 20, 2021
Among DNA modifications, N4-methylcytosine (4mC) is one of the most significant ones, and it is linked to the development of cell proliferation and gene expression. To know different its biological functions, the accurate detection of 4mC sites is re...
Web Browser Cytosine Neural Networks, Computer Algorithms Reproducibility of Results Animals Epigenesis, Genetic Mice Databases, Genetic Genomics DNA Methylation Computational Biology Genome
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Fast and precise single-cell data analysis using a hierarchical autoencoder.

Nature communications Feb 15, 2021
A primary challenge in single-cell RNA sequencing (scRNA-seq) studies comes from the massive amount of data and the excess noise level. To address this challenge, we introduce an analysis framework, named single-cell Decomposition using Hierarchical ...
Bayes Theorem Benchmarking Retina Cerebellum Mice Sequence Analysis, RNA Liver Unsupervised Machine Learning Mouse Embryonic Stem Cells Visual Cortex Embryo, Mammalian Pancreas Zygote Cell Separation Humans Neural Networks, Computer Animals Lung Single-Cell Analysis
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Proof of Concept for a Deep Learning Algorithm for Identification and Quantification of Key Microscopic Features in the Murine Model of DSS-Induced Colitis.

Toxicologic pathology Feb 12, 2021
Inflammatory bowel disease (IBD) is a complex disease which leads to life-threatening complications and decreased quality of life. The dextran sulfate sodium (DSS) colitis model in mice is known for rapid screening of candidate compounds. Efficacy as...
Artificial Intelligence Animals Disease Models, Animal Mice, Inbred C57BL Dextran Sulfate Colitis Colon Quality of Life Deep Learning Mice
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Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas.

PLoS computational biology Feb 4, 2021
The visual cortex of the mouse brain can be divided into ten or more areas that each contain complete or partial retinotopic maps of the contralateral visual field. It is generally assumed that these areas represent discrete processing regions. In co...
Mice, Transgenic Normal Distribution Photic Stimulation Visual Cortex Brain Mapping Machine Learning Retina Brain Neurons Female Visual Fields Animals Male Mice Cluster Analysis Models, Statistical Photons Visual Pathways Prosencephalon
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