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NuSeT: A deep learning tool for reliably separating and analyzing crowded cells.

PLoS computational biology Sep 14, 2020
Segmenting cell nuclei within microscopy images is a ubiquitous task in biological research and clinical applications. Unfortunately, segmenting low-contrast overlapping objects that may be tightly packed is a major bottleneck in standard deep learni...
Humans Software Algorithms Deep Learning HeLa Cells Image Processing, Computer-Assisted Artifacts Computational Biology Cell Nucleus Microscopy
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Accurate prediction of DNA N-methylcytosine sites via boost-learning various types of sequence features.

BMC genomics Sep 11, 2020
BACKGROUND: DNA N4-methylcytosine (4mC) is a critical epigenetic modification and has various roles in the restriction-modification system. Due to the high cost of experimental laboratory detection, computational methods using sequence characteristic...
Cytosine Drosophila melanogaster Caenorhabditis elegans Arabidopsis Software Animals Escherichia coli Sequence Analysis, DNA DNA Methylation DNA Epigenome Machine Learning
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Accurate deep neural network model to detect cardiac arrhythmia on more than 10,000 individual subject ECG records.

Computer methods and programs in biomedicine Sep 8, 2020
BACKGROUND AND OBJECTIVE: Cardiac arrhythmia, which is an abnormal heart rhythm, is a common clinical problem in cardiology. Detection of arrhythmia on an extended duration electrocardiogram (ECG) is done based on initial algorithmic software screeni...
Humans Neural Networks, Computer Software Algorithms Electrocardiography Signal Processing, Computer-Assisted Arrhythmias, Cardiac
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ODiNPred: comprehensive prediction of protein order and disorder.

Scientific reports Sep 8, 2020
Structural disorder is widespread in eukaryotic proteins and is vital for their function in diverse biological processes. It is therefore highly desirable to be able to predict the degree of order and disorder from amino acid sequence. It is, however...
Humans Neural Networks, Computer Software Models, Molecular Amino Acids Intrinsically Disordered Proteins Protein Folding Algorithms Computational Biology Proteins Databases, Protein
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MosaicBase: A Knowledgebase of Postzygotic Mosaic Variants in Noncancer Disease-related and Healthy Human Individuals.

Genomics, proteomics & bioinformatics Sep 8, 2020
Mosaic variants resulting from postzygotic mutations are prevalent in the human genome and play important roles in human diseases. However, except for cancer-related variants, there is no collection of postzygotic mosaic variants in noncancer disease...
Zygote Disease Health Mosaicism Mutation Humans Knowledge Bases Genome, Human Software Phenotype User-Computer Interface Databases, Genetic
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ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.

Theranostics Sep 2, 2020
A fully automated and accurate assay of rare cell phenotypes in densely-packed fluorescently-labeled liquid biopsy images remains elusive. Employing a hybrid artificial intelligence (AI) paradigm that combines traditional rule-based morphological ma...
Liquid Biopsy Computer Security Humans Pancreatic Neoplasms Cell Count Female Predictive Value of Tests Male Machine Learning Microscopy, Fluorescence Reproducibility of Results Principal Component Analysis Internet of Things Software Aged Neoplastic Cells, Circulating Middle Aged Image Processing, Computer-Assisted Biomarkers, Tumor
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Neural Network-Based Study about Correlation Model between TCM Constitution and Physical Examination Indexes Based on 950 Physical Examinees.

Journal of healthcare engineering Sep 1, 2020
PURPOSE: To establish the correlation model between Traditional Chinese Medicine (TCM) constitution and physical examination indexes by backpropagation neural network (BPNN) technology. A new method for the identification of TCM constitution in clini...
Humans Neural Networks, Computer Reproducibility of Results Computer Systems Medicine, Chinese Traditional Artificial Intelligence Models, Statistical Software Algorithms Physical Examination Lipids Programming Languages Data Collection Pattern Recognition, Automated Blood Chemical Analysis Liver Function Tests Urinalysis
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DeepVariant-on-Spark: Small-Scale Genome Analysis Using a Cloud-Based Computing Framework.

Computational and mathematical methods in medicine Sep 1, 2020
Although sequencing a human genome has become affordable, identifying genetic variants from whole-genome sequence data is still a hurdle for researchers without adequate computing equipment or bioinformatics support. GATK is a gold standard method fo...
Genome, Human Cloud Computing Software Humans Genetic Variation Deep Learning Neural Networks, Computer High-Throughput Nucleotide Sequencing Computational Biology Cost-Benefit Analysis Whole Genome Sequencing
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Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning.

European journal of radiology Aug 28, 2020
PURPOSE: During the emerging COVID-19 pandemic, radiology departments faced a substantial increase in chest CT admissions coupled with the novel demand for quantification of pulmonary opacities. This article describes how our clinic implemented an au...
Pneumonia, Viral SARS-CoV-2 Coronavirus Infections Betacoronavirus Humans Neural Networks, Computer Machine Learning Software Pandemics COVID-19 Tomography, X-Ray Computed
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A Radar Signal Recognition Approach via IIF-Net Deep Learning Models.

Computational intelligence and neuroscience Aug 28, 2020
In the increasingly complex electromagnetic environment of modern battlefields, how to quickly and accurately identify radar signals is a hotspot in the field of electronic countermeasures. In this paper, USRP N210, USRP-LW N210, and other general so...
Deep Learning Neural Networks, Computer Signal-To-Noise Ratio Software Radar
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