AIMC Topic: DNA

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Deep learning based DNA:RNA triplex forming potential prediction.

BMC bioinformatics Nov 12, 2020
BACKGROUND: Long non-coding RNAs (lncRNAs) can exert functions via forming triplex with DNA. The current methods in predicting the triplex formation mainly rely on mathematic statistic according to the base paring rules. However, these methods have t...
Deep Learning User-Computer Interface ROC Curve DNA Models, Theoretical RNA, Long Noncoding Area Under Curve
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A DNA-Based Intelligent Expert System for Personalised Skin-Health Recommendations.

IEEE journal of biomedical and health informatics Nov 4, 2020
Intensive attention on personalised skin-health solutions is on account of incomparable love of skin and an urgent need for effective treatment. In the meanwhile, people have great expectations on how to utilise genetic knowledge of our body to provi...
DNA Skin Expert Systems Humans
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Transfer learning enables prediction of CYP2D6 haplotype function.

PLoS computational biology Nov 2, 2020
Cytochrome P450 2D6 (CYP2D6) is a highly polymorphic gene whose protein product metabolizes more than 20% of clinically used drugs. Genetic variations in CYP2D6 are responsible for interindividual heterogeneity in drug response that can lead to drug ...
Haplotypes Base Sequence Polymorphism, Genetic Supervised Machine Learning Alleles Microsomes, Liver Phenotype Computer Simulation Pharmacogenomic Testing Deep Learning Humans Computational Biology Cytochrome P-450 CYP2D6 Neural Networks, Computer DNA Pharmaceutical Preparations
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Implementing logical inference based on DNA assembly.

Bio Systems Oct 14, 2020
Algorithms and information processing, fundamental to biological system, are an essential aspect of many elementary physical phenomena, such as molecular self-assembly. Self-assembly system has been proved to be capable of performing many logic opera...
Logic Algorithms Models, Genetic DNA Artificial Intelligence Software
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Application of deep learning in genomics.

Science China. Life sciences Oct 10, 2020
In recent years, deep learning has been widely used in diverse fields of research, such as speech recognition, image classification, autonomous driving and natural language processing. Deep learning has showcased dramatically improved performance in ...
DNA RNA Deep Learning Genomics Proteins Humans Neural Networks, Computer Machine Learning Algorithms Animals
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Machine Learning to Improve the Sensing of Biomolecules by Conical Track-Etched Nanopore.

Biosensors Oct 5, 2020
Single nanopore is a powerful platform to detect, discriminate and identify biomacromolecules. Among the different devices, the conical nanopores obtained by the track-etched technique on a polymer film are stable and easy to functionalize. However, ...
Machine Learning Biosensing Techniques DNA Nanopores
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DeepHE: Accurately predicting human essential genes based on deep learning.

PLoS computational biology Sep 16, 2020
Accurately predicting essential genes using computational methods can greatly reduce the effort in finding them via wet experiments at both time and resource scales, and further accelerate the process of drug discovery. Several computational methods ...
Sequence Analysis, DNA Genes, Essential DNA Deep Learning Protein Interaction Maps Computational Biology Humans Neural Networks, Computer
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Machine Learning Prediction of Electronic Coupling between the Guanine Bases of DNA.

The journal of physical chemistry. A Sep 14, 2020
Charge transport in deoxyribonucleic acid (DNA) is of immense interest in biology and molecular electronics. Electronic coupling between the DNA bases is an important parameter describing the efficiency of charge transport in DNA. A reasonable estima...
Machine Learning DNA Density Functional Theory Molecular Dynamics Simulation Electronics Guanine
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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...
DNA Epigenome Drosophila melanogaster Escherichia coli Sequence Analysis, DNA DNA Methylation Caenorhabditis elegans Arabidopsis Cytosine Machine Learning Software Animals
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Computer versus cardiologist: Is a machine learning algorithm able to outperform an expert in diagnosing a phospholamban p.Arg14del mutation on the electrocardiogram?

Heart rhythm Sep 8, 2020
BACKGROUND: Phospholamban (PLN) p.Arg14del mutation carriers are known to develop dilated and/or arrhythmogenic cardiomyopathy, and typical electrocardiographic (ECG) features have been identified for diagnosis. Machine learning is a powerful tool us...
Adult Male Middle Aged Clinical Competence Adolescent Electrocardiography Female Reproducibility of Results Humans Young Adult Computers Calcium-Binding Proteins Machine Learning Phenotype Arrhythmogenic Right Ventricular Dysplasia Algorithms Retrospective Studies Cardiologists DNA Mutation DNA Mutational Analysis
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