AIMC Topic: Mice

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A classification model for lncRNA and mRNA based on k-mers and a convolutional neural network.

BMC bioinformatics Sep 13, 2019
BACKGROUND: Long-chain non-coding RNA (lncRNA) is closely related to many biological activities. Since its sequence structure is similar to that of messenger RNA (mRNA), it is difficult to distinguish between the two based only on sequence biometrics...
RNA, Messenger Chickens RNA, Long Noncoding Neural Networks, Computer Animals Mice Humans
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Machine-Learning Prediction of Tumor Antigen Immunogenicity in the Selection of Therapeutic Epitopes.

Cancer immunology research Sep 12, 2019
Current tumor neoantigen calling algorithms primarily rely on epitope/major histocompatibility complex (MHC) binding affinity predictions to rank and select for potential epitope targets. These algorithms do not predict for epitope immunogenicity usi...
T-Lymphocytes, Cytotoxic Algorithms Female Humans Machine Learning Cancer Vaccines Antigens, Neoplasm Epitopes, T-Lymphocyte Mice, Inbred BALB C Histocompatibility Antigens Class I Mice, Inbred C57BL Mice Histocompatibility Antigens Class II Peptide Fragments Computational Biology Animals Male Neoplasms
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Enhancement of Acoustic Microscopy Lateral Resolution: A Comparison Between Deep Learning and Two Deconvolution Methods.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control Sep 9, 2019
Scanning acoustic microscopy (SAM) provides high-resolution images of biological tissues. Since higher transducer frequencies limit penetration depth, image resolution enhancement techniques could help in maintaining sufficient lateral resolution wit...
Mice Rats Microscopy, Acoustic Deep Learning Image Processing, Computer-Assisted Brain Animals
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Machine learning predicts putative hematopoietic stem cells within large single-cell transcriptomics data sets.

Experimental hematology Sep 9, 2019
Hematopoietic stem cells (HSCs) are an essential source and reservoir for normal hematopoiesis, and their function is compromised in many blood disorders. HSC research has benefitted from the recent development of single-cell molecular profiling tech...
Gene Expression Profiling Transcriptome Mice Sequence Analysis, RNA Machine Learning Mice, Knockout Animals Hematopoietic Stem Cells
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Utilizing supervised machine learning to identify microglia and astrocytes in situ: implications for large-scale image analysis and quantification.

Journal of neuroscience methods Sep 5, 2019
BACKGROUND: The evaluation of histological tissue samples plays a crucial role in deciphering preclinical disease and injury mechanisms. High-resolution images can be obtained quickly however data acquisition are often bottlenecked by manual analysis...
Reproducibility of Results Sensitivity and Specificity Animals Microglia Astrocytes Supervised Machine Learning Animals, Genetically Modified Image Processing, Computer-Assisted Mice Rats Fluorescent Antibody Technique Histological Techniques Neurosciences
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Bursts with High and Low Load of Epileptiform Spikes Show Context-Dependent Correlations in Epileptic Mice.

eNeuro Sep 5, 2019
Hypersynchronous network activity is the defining hallmark of epilepsy and manifests in a wide spectrum of phenomena, of which electrographic activity during seizures is only one extreme. The aim of this study was to differentiate between different t...
Machine Learning Animals Male Electroencephalography Epilepsy Hippocampus Kainic Acid Mice Action Potentials Mice, Inbred C57BL
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Predicting the future direction of cell movement with convolutional neural networks.

PloS one Sep 4, 2019
Image-based deep learning systems, such as convolutional neural networks (CNNs), have recently been applied to cell classification, producing impressive results; however, application of CNNs has been confined to classification of the current cell sta...
Cell Line Image Processing, Computer-Assisted Humans Time-Lapse Imaging Mice Microscopy Neural Networks, Computer Cell Movement Animals NIH 3T3 Cells
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Deep learning enables rapid identification of potent DDR1 kinase inhibitors.

Nature biotechnology Sep 2, 2019
We have developed a deep generative model, generative tensorial reinforcement learning (GENTRL), for de novo small-molecule design. GENTRL optimizes synthetic feasibility, novelty, and biological activity. We used GENTRL to discover potent inhibitors...
Enzyme Inhibitors Mice Protein Conformation Rats Discoidin Domain Receptor 1 Models, Molecular Drug Evaluation, Preclinical Humans Molecular Structure Microsomes, Liver Animals Dogs Deep Learning
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Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish.

Journal of biophotonics Aug 29, 2019
Optical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption or fluorescence contrast. 3D images can be rapidly reconstructed from tomographic data sets sampled with sufficient numbers of projection angles using...
Pancreas Lung Neural Networks, Computer Tomography, Optical Image Processing, Computer-Assisted Mice Animals Zebrafish
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A null model of the mouse whole-neocortex micro-connectome.

Nature communications Aug 29, 2019
In connectomics, the study of the network structure of connected neurons, great advances are being made on two different scales: that of macro- and meso-scale connectomics, studying the connectivity between populations of neurons, and that of micro-s...
Models, Animal Connectome Brain Nerve Net Animals Neural Networks, Computer Neocortex Mice Models, Statistical Neurons
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