AIMC Topic: Mice

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Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.

Scientific reports Jul 27, 2017
Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles in human diseases. Current methods for discriminating lymphocyte cell types primarily rely on labelling techniques with magnetic beads or fluorescenc...
Single-Cell Analysis Mice Mice, Inbred C57BL Lymphocytes Machine Learning Animals Lymphocyte Activation Refractometry Tomography
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Gaussian process classification of superparamagnetic relaxometry data: Phantom study.

Artificial intelligence in medicine Jul 24, 2017
MOTIVATION: Superparamagnetic relaxometry (SPMR) is an emerging technology that holds potential for use in early cancer detection. Measurement of the magnetic field after the excitation of cancer-bound superparamagnetic iron oxide nanoparticles (SPIO...
Magnetite Nanoparticles Signal-To-Noise Ratio Magnetics Neoplasms, Experimental Phantoms, Imaging Normal Distribution Numerical Analysis, Computer-Assisted Contrast Media Machine Learning Magnetic Resonance Imaging Algorithms Early Detection of Cancer Computer Simulation Predictive Value of Tests Reproducibility of Results Animals Image Processing, Computer-Assisted Mice
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Clustering and Candidate Motif Detection in Exosomal miRNAs by Application of Machine Learning Algorithms.

Interdisciplinary sciences, computational life sciences Jul 22, 2017
BACKGROUND: The clustering pattern and motifs give immense information about any biological data. An application of machine learning algorithms for clustering and candidate motif detection in miRNAs derived from exosomes is depicted in this paper. Re...
Machine Learning Algorithms Reproducibility of Results Animals Humans Nucleotide Motifs MicroRNAs Exosomes Base Sequence Gene Ontology Phylogeny Mice Cluster Analysis
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NoGOA: predicting noisy GO annotations using evidences and sparse representation.

BMC bioinformatics Jul 21, 2017
BACKGROUND: Gene Ontology (GO) is a community effort to represent functional features of gene products. GO annotations (GOA) provide functional associations between GO terms and gene products. Due to resources limitation, only a small portion of anno...
Arabidopsis Saccharomyces cerevisiae Molecular Sequence Annotation Gene Ontology Cattle Mice Computational Biology Humans Chickens Animals
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Automated gesture tracking in head-fixed mice.

Journal of neuroscience methods Jul 17, 2017
BACKGROUND: The preparation consisting of a head-fixed mouse on a spherical or cylindrical treadmill offers unique advantages in a variety of experimental contexts. Head fixation provides the mechanical stability necessary for optical and electrophys...
Animals Male Gestures Head Behavior, Animal Locomotion Mice Behavioral Research Mice, Inbred C57BL Supervised Machine Learning Image Interpretation, Computer-Assisted
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ADMET Evaluation in Drug Discovery. Part 17: Development of Quantitative and Qualitative Prediction Models for Chemical-Induced Respiratory Toxicity.

Molecular pharmaceutics Jun 21, 2017
As a dangerous end point, respiratory toxicity can cause serious adverse health effects and even death. Meanwhile, it is a common and traditional issue in occupational and environmental protection. Pharmaceutical and chemical industries have a strong...
Support Vector Machine Bayes Theorem Quantitative Structure-Activity Relationship Reproducibility of Results Animals Humans Mice Machine Learning Models, Theoretical Algorithms
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A robot for high yield electrophysiology and morphology of single neurons in vivo.

Nature communications Jun 1, 2017
Single-cell characterization and perturbation of neurons provides knowledge critical to addressing fundamental neuroscience questions including the structure-function relationship and neuronal cell-type classification. Here we report a robot for effi...
Software Brain Female Animals Models, Animal Male Mice, Inbred C57BL Microelectrodes Single-Cell Analysis Robotics Electroporation Mice Equipment Design Electrophysiological Phenomena Neurons
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TIGERi: modeling and visualizing the responses to perturbation of a transcription factor network.

BMC bioinformatics May 31, 2017
BACKGROUND: Transcription factor (TF) networks play a key role in controlling the transfer of genetic information from gene to mRNA. Much progress has been made on understanding and reverse-engineering TF network topologies using a range of experimen...
Binding Sites Mitogen-Activated Protein Kinase 14 Machine Learning Gene Regulatory Networks Animals Mice Transcriptome Transcription Factors Mice, Knockout
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Prediction of marker genes associated with hypertension by bioinformatics analyses.

International journal of molecular medicine May 25, 2017
This study aimed to explore the underlying marker genes associated with hypertension by bioinformatics analyses. A gene expression profile (GSE54015) was downloaded. The differentially expressed genes (DEGs) between the normotensive female (NF) and h...
Gene Ontology Hypertension Genetic Markers Gene Expression Regulation Female Animals Male Mice Computational Biology
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An unsupervised learning approach for tracking mice in an enclosed area.

BMC bioinformatics May 25, 2017
BACKGROUND: In neuroscience research, mouse models are valuable tools to understand the genetic mechanisms that advance evidence-based discovery. In this context, large-scale studies emphasize the need for automated high-throughput systems providing ...
Models, Animal Algorithms Mice Female Electronic Data Processing Animals Mice, Inbred C57BL Behavior, Animal Unsupervised Machine Learning Social Behavior
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