AIMC Topic: Deep Learning

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Prediction of Long Non-Coding RNAs Based on Deep Learning.

Genes Apr 3, 2019
With the rapid development of high-throughput sequencing technology, a large number of transcript sequences have been discovered, and how to identify long non-coding RNAs (lncRNAs) from transcripts is a challenging task. The identification and inclus...
Algorithms Deep Learning Genetic Predisposition to Disease Humans Computational Biology RNA, Messenger Models, Genetic RNA, Long Noncoding High-Throughput Nucleotide Sequencing
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Research on soil moisture prediction model based on deep learning.

PloS one Apr 3, 2019
Soil moisture is one of the main factors in agricultural production and hydrological cycles, and its precise prediction is important for the rational use and management of water resources. However, soil moisture involves complex structural characteri...
Water Droughts Agriculture Meteorology Weather Models, Theoretical Reproducibility of Results Algorithms Groundwater Agricultural Irrigation Deep Learning Regression Analysis Temperature China Soil
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On the Vulnerability of CNN Classifiers in EEG-Based BCIs.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Apr 2, 2019
Deep learning has been successfully used in numerous applications because of its outstanding performance and the ability to avoid manual feature engineering. One such application is electroencephalogram (EEG)-based brain-computer interface (BCI), whe...
Humans Signal Processing, Computer-Assisted Reproducibility of Results Neural Networks, Computer Models, Theoretical Brain-Computer Interfaces Imagination Machine Learning Deep Learning Electroencephalography Event-Related Potentials, P300 Algorithms
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Deep Learning and Random Forest Approach for Finding the Optimal Traditional Chinese Medicine Formula for Treatment of Alzheimer's Disease.

Journal of chemical information and modeling Apr 2, 2019
It has demonstrated that glycogen synthase kinase 3β (GSK3β) is related to Alzheimer's disease (AD). On the basis of the world largest traditional Chinese medicine (TCM) database, a network-pharmacology-based approach was utilized to investigate TCM ...
Quantitative Structure-Activity Relationship Protein Conformation Databases, Pharmaceutical Glycogen Synthase Kinase 3 Molecular Docking Simulation Molecular Dynamics Simulation Alzheimer Disease Deep Learning Drug Compounding Support Vector Machine Medicine, Chinese Traditional Protein Interaction Maps Computational Biology
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A Deep Learning Approach to the Screening of Oncogenic Gene Fusions in Humans.

International journal of molecular sciences Apr 2, 2019
Gene fusions have a very important role in the study of cancer development. In this regard, predicting the probability of protein fusion transcripts of developing into a cancer is a very challenging and yet not fully explored research problem. To thi...
Oncogene Fusion Algorithms Deep Learning Probability Humans Neural Networks, Computer
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Convolutional Recurrent Neural Networks for Glucose Prediction.

IEEE journal of biomedical and health informatics Apr 1, 2019
Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and insulin bolus calculators leverage machine learning techniques for pr...
Neural Networks, Computer Blood Glucose Deep Learning Humans Insulin Diabetes Mellitus, Type 1
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Application of a deep learning algorithm for detection and visualization of hip fractures on plain pelvic radiographs.

European radiology Apr 1, 2019
OBJECTIVE: To identify the feasibility of using a deep convolutional neural network (DCNN) for the detection and localization of hip fractures on plain frontal pelvic radiographs (PXRs). Hip fracture is a leading worldwide health problem for the elde...
Neural Networks, Computer Algorithms Prognosis Female Humans Adult Sensitivity and Specificity Male Middle Aged Aged Aged, 80 and over Young Adult Radiography, Abdominal Feasibility Studies Hip Fractures False Negative Reactions Deep Learning ROC Curve Radiographic Image Interpretation, Computer-Assisted
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Semi-supervised deep learning of brain tissue segmentation.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2019
Brain image segmentation is of great importance not only for clinical use but also for neuroscience research. Recent developments in deep neural networks (DNNs) have led to the application of DNNs to brain image segmentation, which required extensive...
Brain Animals Deep Learning Callithrix Imaging, Three-Dimensional Supervised Machine Learning Humans Neural Networks, Computer
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Application of Single-Nucleotide Polymorphisms in the Diagnosis of Autism Spectrum Disorders: A Preliminary Study with Artificial Neural Networks.

Journal of molecular neuroscience : MN Apr 1, 2019
Autism spectrum disorder (ASD) includes different neurodevelopmental disorders characterized by deficits in social communication, and restricted, repetitive patterns of behavior, interests or activities. Based on the importance of early diagnosis for...
Receptors, Metabotropic Glutamate Synaptosomal-Associated Protein 25 Sensitivity and Specificity Male Deep Learning Genetic Testing Receptors, GABA-A Child Polymorphism, Single Nucleotide Humans Autism Spectrum Disorder Female
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Automated classification of hepatocellular carcinoma differentiation using multiphoton microscopy and deep learning.

Journal of biophotonics Apr 1, 2019
In the case of hepatocellular carcinoma (HCC) samples, classification of differentiation is crucial for determining prognosis and treatment strategy decisions. However, a label-free and automated classification system for HCC grading has not been yet...
Carcinoma, Hepatocellular Image Processing, Computer-Assisted Automation Microscopy, Fluorescence, Multiphoton Humans Deep Learning Liver Neoplasms
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