AIMC Topic: Mice
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Identifying mouse developmental essential genes using machine learning.
Disease models & mechanisms
Dec 13, 2018
The genes that are required for organismal survival are annotated as 'essential genes'. Identifying all the essential genes of an animal species can reveal critical functions that are needed during the development of the organism. To inform studies o...
Morphometric analysis of peripheral myelinated nerve fibers through deep learning.
Journal of the peripheral nervous system : JPNS
Dec 11, 2018
Irrespective of initial causes of neurological diseases, these disorders usually exhibit two key pathological changes-axonal loss or demyelination or a mixture of the two. Therefore, vigorous quantification of myelin and axons is essential in studyin...
Cell Segmentation Using a Similarity Interface With a Multi-Task Convolutional Neural Network.
IEEE journal of biomedical and health informatics
Dec 7, 2018
Even though convolutional neural networks (CNN) have been used for cell segmentation, they require pixel-level ground truth annotations. This paper proposes a multitask learning algorithm for cell detection and segmentation using CNNs. We use dot ann...
GOnet: a tool for interactive Gene Ontology analysis.
BMC bioinformatics
Dec 7, 2018
BACKGROUND: Biological interpretation of gene/protein lists resulting from -omics experiments can be a complex task. A common approach consists of reviewing Gene Ontology (GO) annotations for entries in such lists and searching for enrichment pattern...
A deep learning based method for large-scale classification, registration, and clustering of in-situ hybridization experiments in the mouse olfactory bulb.
Journal of neuroscience methods
Dec 6, 2018
BACKGROUND: The Allen Mouse Brain Atlas allows study of the brain's molecular anatomy at cellular scale, for thousands genes. To fully leverage this resource, one must register histological images of brain tissue - a task made challenging by the brai...
Hispaglabridin B, a constituent of liquorice identified by a bioinformatics and machine learning approach, relieves protein-energy wasting by inhibiting forkhead box O1.
British journal of pharmacology
Dec 4, 2018
BACKGROUND AND PURPOSE: Liquorice is the root of Glycyrrhiza glabra, which is a popular food in Europe and China that has previously shown benefits for skeletal fatigue and nutrient metabolism. However, the mechanism and active ingredients remain lar...
Mice, Inbred C57BL
Dose-Response Relationship, Drug
Muscle, Skeletal
Structure-Activity Relationship
Male
Mice
Computational Biology
Plant Extracts
Glycyrrhiza
Transcription, Genetic
Muscular Atrophy
Plant Roots
Forkhead Box Protein O1
Models, Molecular
Machine Learning
Molecular Structure
Animals
Benzopyrans
CbpM and CbpG of Streptococcus Pneumoniae Elicit a High Protection in Mice Challenged with a Serotype 19F Pneumococcus.
Iranian journal of allergy, asthma, and immunology
Dec 3, 2018
Among many pneumococcal antigens, choline-binding proteins (CPBs) display a high immunogenicity in animal models. This study aims to determine the immunogenicity of CbpM, CbpG and CbpL proteins of Streptococcus pneumoniae in a mice model. The genes w...
Genotoxicity evaluation of titanium dioxide nanoparticles using the mouse lymphoma assay and the Ames test.
Mutation research. Genetic toxicology and environmental mutagenesis
Dec 1, 2018
Titanium dioxide nanoparticles (TiO-NPs) are widely used in the cosmetics, health, and food industries, but their safety and genotoxicity remain a matter of debate. We investigated whether TiO-NPs could induce gene mutations in mouse lymphoma L5178Y ...
Deep learning identifies genome-wide DNA binding sites of long noncoding RNAs.
RNA biology
Nov 28, 2018
Long noncoding RNAs (lncRNAs) can exert their function by interacting with the DNA via triplex structure formation. Even though this has been validated with a handful of experiments, a genome-wide analysis of lncRNA-DNA binding is needed. In this pap...
Found In Translation: a machine learning model for mouse-to-human inference.
Nature methods
Nov 26, 2018
Cross-species differences form barriers to translational research that ultimately hinder the success of clinical trials, yet knowledge of species differences has yet to be systematically incorporated in the interpretation of animal models. Here we pr...
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