AIMC Topic: Mice

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Graph embeddings on gene ontology annotations for protein-protein interaction prediction.

BMC bioinformatics Dec 16, 2020
BACKGROUND: Protein-protein interaction (PPI) prediction is an important task towards the understanding of many bioinformatics functions and applications, such as predicting protein functions, gene-disease associations and disease-drug associations. ...
Protein Interaction Mapping Humans Animals ROC Curve Task Performance and Analysis Saccharomyces cerevisiae Molecular Sequence Annotation Gene Ontology Mice Computational Biology Area Under Curve
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Cellpose: a generalist algorithm for cellular segmentation.

Nature methods Dec 14, 2020
Many biological applications require the segmentation of cell bodies, membranes and nuclei from microscopy images. Deep learning has enabled great progress on this problem, but current methods are specialized for images that have large training datas...
Animals Male Deep Learning Mice, Inbred C57BL Neurons Image Processing, Computer-Assisted Mice Software Algorithms Female Humans Neural Networks, Computer Cell Nucleus
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Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease.

Science (New York, N.Y.) Dec 10, 2020
Mapping the gene-regulatory networks dysregulated in human disease would allow the design of network-correcting therapies that treat the core disease mechanism. However, small molecules are traditionally screened for their effects on one to several o...
Receptor, Notch1 Haploinsufficiency Aortic Valve Disease Nitriles Small Molecule Libraries Induced Pluripotent Stem Cells Drug Evaluation, Preclinical Thiazoles Gene Expression Regulation Gene Regulatory Networks Mice Disease Models, Animal Aortic Valve Stenosis Aortic Valve Mice, Inbred C57BL Calcinosis Algorithms Animals Drug Discovery RNA-Seq Humans Machine Learning
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Using Deep Learning Artificial Intelligence Algorithms to Verify N-Nitroso-N-Methylurea and Urethane Positive Control Proliferative Changes in Tg-RasH2 Mouse Carcinogenicity Studies.

Toxicologic pathology Dec 8, 2020
In Tg-rasH2 carcinogenicity mouse models, a positive control group is treated with a carcinogen such as urethane or N-nitroso-N-methylurea to test study validity based on the presence of the expected proliferative lesions in the transgenic mice. We h...
Artificial Intelligence Algorithms Animals Carcinogens Methylurea Compounds Urethane Deep Learning Mice Mice, Transgenic
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Using Artificial Intelligence to Detect, Classify, and Objectively Score Severity of Rodent Cardiomyopathy.

Toxicologic pathology Dec 8, 2020
Rodent progressive cardiomyopathy (PCM) encompasses a constellation of microscopic findings commonly seen as a spontaneous background change in rat and mouse hearts. Primary histologic features of PCM include varying degrees of cardiomyocyte degenera...
Neural Networks, Computer Rodentia Mice Rats Cardiomyopathies Artificial Intelligence Algorithms Animals
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Extracting Inter-Sentence Relations for Associating Biological Context with Events in Biomedical Texts.

IEEE/ACM transactions on computational biology and bioinformatics Dec 8, 2020
We present an analysis of the problem of identifying biological context and associating it with biochemical events described in biomedical texts. This constitutes a non-trivial, inter-sentential relation extraction task. We focus on biological contex...
Natural Language Processing Data Mining Animals Mice Computational Biology Humans Databases, Factual Biomedical Research
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Transfer learning efficiently maps bone marrow cell types from mouse to human using single-cell RNA sequencing.

Communications biology Dec 4, 2020
Biomedical research often involves conducting experiments on model organisms in the anticipation that the biology learnt will transfer to humans. Previous comparative studies of mouse and human tissues were limited by the use of bulk-cell material. H...
Bone Marrow Cells Cell Separation Humans Machine Learning Mice Sequence Analysis, RNA Animals Single-Cell Analysis
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Deep Learning-Based Detection of Endothelial Tip Cells in the Oxygen-Induced Retinopathy Model.

Toxicologic pathology Dec 2, 2020
Proliferative retinopathies, such as diabetic retinopathy and retinopathy of prematurity, are leading causes of vision impairment. A common feature is a loss of retinal capillary vessels resulting in hypoxia and neuronal damage. The oxygen-induced re...
Oxygen Retinal Diseases Retinal Vessels Humans Deep Learning Mice Neural Networks, Computer Animals
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Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning.

Translational vision science & technology Dec 2, 2020
PURPOSE: To develop a deep learning model for objective evaluation of experimental autoimmune uveitis (EAU), the animal model of posterior uveitis that reveals its essential pathological features via fundus photographs.
Fundus Oculi Diagnostic Techniques, Ophthalmological Photography Mice Uveitis Animals Deep Learning
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Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure.

Nature communications Dec 1, 2020
Understanding the genetic regulatory code governing gene expression is an important challenge in molecular biology. However, how individual coding and non-coding regions of the gene regulatory structure interact and contribute to mRNA expression leve...
Animals Deep Learning Mice Bacteria Humans Base Sequence Saccharomyces cerevisiae Drosophila melanogaster Regulatory Sequences, Nucleic Acid RNA, Messenger Evolution, Molecular Gene Expression Regulation
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