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DeepSV: accurate calling of genomic deletions from high-throughput sequencing data using deep convolutional neural network.
BMC bioinformatics
Dec 12, 2019
BACKGROUND: Calling genetic variations from sequence reads is an important problem in genomics. There are many existing methods for calling various types of variations. Recently, Google developed a method for calling single nucleotide polymorphisms (...
SVR-EEMD: An Improved EEMD Method Based on Support Vector Regression Extension in PPG Signal Denoising.
Computational and mathematical methods in medicine
Dec 12, 2019
Photoplethysmography (PPG) has been widely used in noninvasive blood volume and blood flow detection since its first appearance. However, its noninvasiveness also makes the PPG signals vulnerable to noise interference and thus exhibits nonlinear and ...
Analysis of head CT scans flagged by deep learning software for acute intracranial hemorrhage.
Neuroradiology
Dec 11, 2019
PURPOSE: To analyze the implementation of deep learning software for the detection and worklist prioritization of acute intracranial hemorrhage on non-contrast head CT (NCCT) in various clinical settings at an academic medical center.
Boosting ICD multi-label classification of health records with contextual embeddings and label-granularity.
Computer methods and programs in biomedicine
Dec 10, 2019
BACKGROUND AND OBJECTIVE: This work deals with clinical text mining, a field of Natural Language Processing applied to biomedical informatics. The aim is to classify Electronic Health Records with respect to the International Classification of Diseas...
Integrated structural modeling and super-resolution imaging resolve GPCR oligomers.
Progress in molecular biology and translational science
Dec 6, 2019
Formation of G protein-coupled receptors (GPCRs) dimers and higher order oligomers represents a key mechanism in pleiotropic signaling, yet how individual protomers function within oligomers remains poorly understood. For the Class A/rhodopsin subfam...
Protein Multimerization
Allosteric Site
Crystallography, X-Ray
Protein Binding
Protein Interaction Mapping
Computational Biology
Protein Structure, Secondary
Support Vector Machine
Receptors, G-Protein-Coupled
Machine Learning
Mutation
Software
Molecular Dynamics Simulation
Humans
Algorithms
Ligands
Neural Networks, Computer
Fluorescence Resonance Energy Transfer
Animals
Orbit image analysis machine learning software can be used for the histological quantification of acute ischemic stroke blood clots.
PloS one
Dec 5, 2019
Our aim was to assess the utility of a novel machine learning software (Orbit Image Analysis) in the histological quantification of acute ischemic stroke (AIS) clots. We analyzed 50 AIS blood clots retrieved using mechanical thrombectomy procedures. ...
Afann: bias adjustment for alignment-free sequence comparison based on sequencing data using neural network regression.
Genome biology
Dec 4, 2019
Alignment-free methods, more time and memory efficient than alignment-based methods, have been widely used for comparing genome sequences or raw sequencing samples without assembly. However, in this study, we show that alignment-free dissimilarity ca...
Effectiveness of a chat-bot for the adult population to quit smoking: protocol of a pragmatic clinical trial in primary care (Dejal@).
BMC medical informatics and decision making
Dec 3, 2019
BACKGROUND: The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications technologies are the main factors...
Deep Green Diagnostics: Urban Green Space Analysis Using Deep Learning and Drone Images.
Sensors (Basel, Switzerland)
Nov 30, 2019
Nowadays, more than half of the world's population lives in urban areas, and this number continues increasing. Consequently, there are more and more scientific publications that analyze health problems of people associated with living in these highly...
NNTox: Gene Ontology-Based Protein Toxicity Prediction Using Neural Network.
Scientific reports
Nov 29, 2019
With advancements in synthetic biology, the cost and the time needed for designing and synthesizing customized gene products have been steadily decreasing. Many research laboratories in academia as well as industry routinely create genetically engine...
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