AIMC Topic: Genome

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Artificial Intelligence Techniques to Computational Proteomics, Genomics, and Biological Sequence Analysis.

Current protein & peptide science Jan 1, 2020
Fungi Gene Expression Regulation Genome Bacteria Computational Biology Artificial Intelligence Gene Regulatory Networks Humans
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The Genome3D Consortium for Structural Annotations of Selected Model Organisms.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2020
Genome3D consortium is a collaborative project involving protein structure prediction and annotation resources developed by six world-leading structural bioinformatics groups, based in the United Kingdom (namely Blundell, Murzin, Gough, Sternberg, Or...
Knowledge Bases Information Dissemination Genomics Proteome Molecular Sequence Annotation Genome Sequence Alignment United Kingdom Yeasts Humans Animals Arabidopsis
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Omics Data and Artificial Intelligence: New Challenges for Gene Therapy.

Current gene therapy Jan 1, 2020
Metagenome Transcriptome Proteome Genetic Therapy Genome Metabolome Artificial Intelligence Humans Algorithms
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Scaling tree-based automated machine learning to biomedical big data with a feature set selector.

Bioinformatics (Oxford, England) Jan 1, 2020
MOTIVATION: Automated machine learning (AutoML) systems are helpful data science assistants designed to scan data for novel features, select appropriate supervised learning models and optimize their parameters. For this purpose, Tree-based Pipeline O...
Machine Learning Software Big Data Computer Simulation Humans Computational Biology Depressive Disorder, Major Genome
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Machine learning meets genome assembly.

Briefings in bioinformatics Nov 27, 2019
MOTIVATION: With the recent advances in DNA sequencing technologies, the study of the genetic composition of living organisms has become more accessible for researchers. Several advances have been achieved because of it, especially in the health scie...
Algorithms Machine Learning High-Throughput Nucleotide Sequencing Genome Sequence Analysis, DNA
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HiCNN: a very deep convolutional neural network to better enhance the resolution of Hi-C data.

Bioinformatics (Oxford, England) Nov 1, 2019
MOTIVATION: High-resolution Hi-C data are indispensable for the studies of three-dimensional (3D) genome organization at kilobase level. However, generating high-resolution Hi-C data (e.g. 5 kb) by conducting Hi-C experiments needs millions of mammal...
Chromatin Genome Chromosomes Humans Software Animals Neural Networks, Computer Mice
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Using the structure of genome data in the design of deep neural networks for predicting amyotrophic lateral sclerosis from genotype.

Bioinformatics (Oxford, England) Jul 15, 2019
MOTIVATION: Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disease caused by aberrations in the genome. While several disease-causing variants have been identified, a major part of heritability remains unexplained. ALS is believed to have...
Genome Humans Amyotrophic Lateral Sclerosis Neural Networks, Computer Neurodegenerative Diseases Genotype
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Deep learning with multimodal representation for pancancer prognosis prediction.

Bioinformatics (Oxford, England) Jul 15, 2019
MOTIVATION: Estimating the future course of patients with cancer lesions is invaluable to physicians; however, current clinical methods fail to effectively use the vast amount of multimodal data that is available for cancer patients. To tackle this p...
Humans Deep Learning Neural Networks, Computer Genome Neoplasms
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Genetic Neural Networks: an artificial neural network architecture for capturing gene expression relationships.

Bioinformatics (Oxford, England) Jul 1, 2019
MOTIVATION: Gene expression prediction is one of the grand challenges in computational biology. The availability of transcriptomics data combined with recent advances in artificial neural networks provide an unprecedented opportunity to create predic...
Neural Networks, Computer Gene Expression Genome Gene Regulatory Networks Computational Biology
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Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species.

Bioinformatics (Oxford, England) Apr 15, 2019
MOTIVATION: As one of important epigenetic modifications, DNA N4-methylcytosine (4mC) is recently shown to play crucial roles in restriction-modification systems. For better understanding of their functional mechanisms, it is fundamentally important ...
Genome Support Vector Machine Machine Learning DNA Algorithms
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