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EnsembleCNV: an ensemble machine learning algorithm to identify and genotype copy number variation using SNP array data.

Nucleic acids research Apr 23, 2019
The associations between diseases/traits and copy number variants (CNVs) have not been systematically investigated in genome-wide association studies (GWASs), primarily due to a lack of robust and accurate tools for CNV genotyping. Herein, we propose...
Genome, Human Genotyping Techniques Machine Learning Polymorphism, Single Nucleotide Quality Control Datasets as Topic DNA Copy Number Variations Humans
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Application of artificial intelligence in gastroenterology.

World journal of gastroenterology Apr 14, 2019
Artificial intelligence (AI) using deep-learning (DL) has emerged as a breakthrough computer technology. By the era of big data, the accumulation of an enormous number of digital images and medical records drove the need for the utilization of AI to ...
Humans Prognosis Big Data Ultrasonography Image Processing, Computer-Assisted Gastroenterology Deep Learning Gastrointestinal Tract Gastrointestinal Diseases Endoscopy, Gastrointestinal Datasets as Topic
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Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers.

Journal of digital imaging Apr 1, 2019
Applying state-of-the-art machine learning techniques to medical images requires a thorough selection and normalization of input data. One of such steps in digital mammography screening for breast cancer is the labeling and removal of special diagnos...
Humans Machine Learning Female Sensitivity and Specificity Datasets as Topic Breast Neoplasms Automation Mammography Radiology Information Systems
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ME-Class2 reveals context dependent regulatory roles for 5-hydroxymethylcytosine.

Nucleic acids research Mar 18, 2019
Since the discovery of 5-hydroxymethylcytosine (5hmC) as a prominent DNA modification found in mammalian genomes, an emergent question has been what role this mark plays in gene regulation. 5hmC is hypothesized to function as an intermediate in the d...
5-Methylcytosine Genome Genes Humans Machine Learning Sulfites Mice Datasets as Topic Brain Sequence Analysis, RNA Animals Databases, Genetic Promoter Regions, Genetic Methylation Organ Specificity
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Machine Learning as an Effective Method for Identifying True Single Nucleotide Polymorphisms in Polyploid Plants.

The plant genome Mar 1, 2019
Single nucleotide polymorphisms (SNPs) have many advantages as molecular markers since they are ubiquitous and codominant. However, the discovery of true SNPs in polyploid species is difficult. Peanut ( L.) is an allopolyploid, which has a very low r...
Datasets as Topic Arachis Polyploidy Machine Learning Polymorphism, Single Nucleotide Models, Genetic
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Classifying relations in clinical narratives using segment graph convolutional and recurrent neural networks (Seg-GCRNs).

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
We propose to use segment graph convolutional and recurrent neural networks (Seg-GCRNs), which use only word embedding and sentence syntactic dependencies, to classify relations from clinical notes without manual feature engineering. In this study, t...
Electronic Health Records Natural Language Processing Datasets as Topic Data Mining Humans Neural Networks, Computer
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Synthesizing electronic health records using improved generative adversarial networks.

Journal of the American Medical Informatics Association : JAMIA Mar 1, 2019
OBJECTIVE: The aim of this study was to generate synthetic electronic health records (EHRs). The generated EHR data will be more realistic than those generated using the existing medical Generative Adversarial Network (medGAN) method.
Statistics as Topic Electronic Health Records Datasets as Topic Neural Networks, Computer
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Machine Learning: Advanced Image Segmentation Using ilastik.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
Segmentation is one of the most ubiquitous problems in biological image analysis. Here we present a machine learning-based solution to it as implemented in the open source ilastik toolkit. We give a broad description of the underlying theory and demo...
Workflow Animals Mitochondria Machine Learning Image Processing, Computer-Assisted Software Microscopy, Electron Mice Datasets as Topic Somatosensory Cortex
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A Cell Segmentation/Tracking Tool Based on Machine Learning.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
The ability to gain quantifiable, single-cell data from time-lapse microscopy images is dependent upon cell segmentation and tracking. Here, we present a detailed protocol for obtaining quality time-lapse movies and introduce a method to identify (se...
Image Processing, Computer-Assisted Escherichia coli Microscopy, Fluorescence Datasets as Topic Machine Learning Cell Tracking Software
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Unsupervised GRN Ensemble.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2019
Inferring gene regulatory networks from expression data is a very challenging problem that has raised the interest of the scientific community. Different algorithms have been proposed to try to solve this issue, but it has been shown that different m...
Unsupervised Machine Learning Datasets as Topic Gene Regulatory Networks Systems Biology Models, Genetic
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