AIMC Topic:
Software

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Artificial intelligence assistance for fetal head biometry: Assessment of automated measurement software.

Diagnostic and interventional imaging Sep 1, 2018
PURPOSE: To evaluate the feasibility and reproducibility of artificial intelligence software (Smartplanes) to automatically identify the transthalamic plane from 3D ultrasound volumes and to measure the biparietal diameter (BPD) and head circumferenc...
Artificial Intelligence Software Pregnancy Humans Cephalometry Feasibility Studies Fetus Female Reproducibility of Results Ultrasonography, Prenatal
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Can Deep Learning Improve Genomic Prediction of Complex Human Traits?

Genetics Aug 31, 2018
The genetic analysis of complex traits does not escape the current excitement around artificial intelligence, including a renewed interest in "deep learning" (DL) techniques such as Multilayer Perceptrons (MLPs) and Convolutional Neural Networks (CNN...
Linear Models Deep Learning Multifactorial Inheritance Humans Genomics Genotype Software
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CEA: Combination-based gene set functional enrichment analysis.

Scientific reports Aug 30, 2018
Functional enrichment analysis is a fundamental and challenging task in bioinformatics. Most of the current enrichment analysis approaches individually evaluate functional terms and often output a list of enriched terms with high similarity and redun...
Humans Databases, Genetic Software Gene Ontology Algorithms Computational Biology Oligonucleotide Array Sequence Analysis Models, Genetic
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Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.

Molecular pharmaceutics Aug 28, 2018
Many chemicals that disrupt endocrine function have been linked to a variety of adverse biological outcomes. However, screening for endocrine disruption using in vitro or in vivo approaches is costly and time-consuming. Computational methods, e.g., q...
Support Vector Machine Bayes Theorem Receptors, Estrogen Animals Protein Binding Humans Machine Learning Software Algorithms
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Fréchet ChemNet Distance: A Metric for Generative Models for Molecules in Drug Discovery.

Journal of chemical information and modeling Aug 28, 2018
The new wave of successful generative models in machine learning has increased the interest in deep learning driven de novo drug design. However, method comparison is difficult because of various flaws of the currently employed evaluation metrics. We...
Deep Learning Models, Molecular Databases, Factual Computer Simulation Drug Discovery Software
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Controlling Complexity of Cerebral Cortex Simulations-I: CxSystem, a Flexible Cortical Simulation Framework.

Neural computation Aug 27, 2018
Simulation of the cerebral cortex requires a combination of extensive domain-specific knowledge and efficient software. However, when the complexity of the biological system is combined with that of the software, the likelihood of coding errors incre...
Neural Networks, Computer Software Computer Simulation Cerebral Cortex Microcomputers Humans
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A deep convolutional neural network approach for astrocyte detection.

Scientific reports Aug 27, 2018
Astrocytes are involved in various brain pathologies including trauma, stroke, neurodegenerative disorders such as Alzheimer's and Parkinson's diseases, or chronic pain. Determining cell density in a complex tissue environment in microscopy images an...
Astrocytes Models, Biological Rats Area Under Curve Software Humans Animals Neural Networks, Computer Image Processing, Computer-Assisted Machine Learning
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Drug-drug interaction extraction from biomedical texts using long short-term memory network.

Journal of biomedical informatics Aug 21, 2018
The simultaneous administration of multiple drugs increases the probability of interaction among them, as one drug may affect the activities of others. This interaction among drugs may have a positive or negative impact on the therapeutic outcomes. T...
Linguistics Neural Networks, Computer Drug Interactions Knowledge Bases Medical Informatics Semantics Linear Models Polypharmacy Software Language Algorithms Reproducibility of Results Support Vector Machine
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Algorithmic Analysis of Cahn-Ingold-Prelog Rules of Stereochemistry: Proposals for Revised Rules and a Guide for Machine Implementation.

Journal of chemical information and modeling Aug 17, 2018
The most recent version of the Cahn-Ingold-Prelog rules for the determination of stereodescriptors as described in Nomenclature of Organic Chemistry: IUPAC Recommendations and Preferred Names 2013 (the "Blue Book"; Favre and Powell. Royal Society of ...
Stereoisomerism Algorithms Computer Simulation Organic Chemicals Structure-Activity Relationship Machine Learning Models, Molecular Software Molecular Structure
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iRNA-2OM: A Sequence-Based Predictor for Identifying 2'-O-Methylation Sites in Homo sapiens.

Journal of computational biology : a journal of computational molecular cell biology Aug 16, 2018
2'-O-methylation plays an important biological role in gene expression. Owing to the explosive increase in genomic sequencing data, it is necessary to develop a method for quickly and efficiently identifying whether a sequence contains the 2'-O-methy...
Computational Biology Support Vector Machine RNA Humans Software Algorithms RNA Interference Methylation Genome, Human
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