Deep learning: new computational modelling techniques for genomics. View Full Text


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Article Info

DATE

2019-04-10

AUTHORS

Gökcen Eraslan, Žiga Avsec, Julien Gagneur, Fabian J Theis

ABSTRACT

As a data-driven science, genomics largely utilizes machine learning to capture dependencies in data and derive novel biological hypotheses. However, the ability to extract new insights from the exponentially increasing volume of genomics data requires more expressive machine learning models. By effectively leveraging large data sets, deep learning has transformed fields such as computer vision and natural language processing. Now, it is becoming the method of choice for many genomics modelling tasks, including predicting the impact of genetic variation on gene regulatory mechanisms such as DNA accessibility and splicing. More... »

References to SciGraph publications

  • 2018-08. Predicting the clinical impact of human mutation with deep neural networks in NATURE GENETICS
  • 2016-08. Molecular graph convolutions: moving beyond fingerprints in JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN
  • 2001-10. Random Forests in MACHINE LEARNING
  • 2015-12. Deep convolutional neural networks for annotating gene expression patterns in the mouse brain in BMC BIOINFORMATICS
  • 2018-12. Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks in BMC GENOMICS
  • 2017-12. DeepCpG: accurate prediction of single-cell DNA methylation states using deep learning in GENOME BIOLOGY
  • 2013-02. Evaluation of methods for modeling transcription factor sequence specificity in NATURE BIOTECHNOLOGY
  • 2017-12. RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach in BMC BIOINFORMATICS
  • 2011-01. Network medicine: a network-based approach to human disease in NATURE REVIEWS GENETICS
  • 2013-10. Integrative approaches for finding modular structure in biological networks in NATURE REVIEWS GENETICS
  • 2015-06. Machine learning applications in genetics and genomics in NATURE REVIEWS GENETICS
  • 2009-10. ChIP–seq: advantages and challenges of a maturing technology in NATURE REVIEWS GENETICS
  • 2018-01. Spatial transcriptomics in NATURE METHODS
  • 2018-08. Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk in NATURE GENETICS
  • 2015-08. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning in NATURE BIOTECHNOLOGY
  • 2018-11-26. A primer on deep learning in genomics in NATURE GENETICS
  • 1999-01. Exploring the new world of the genome with DNA microarrays in NATURE GENETICS
  • 2011. Principal Component Analysis in INTERNATIONAL ENCYCLOPEDIA OF STATISTICAL SCIENCE
  • 2017-12. ADAGE signature analysis: differential expression analysis with data-defined gene sets in BMC BIOINFORMATICS
  • 2017-12. Reconstructing cell cycle and disease progression using deep learning in NATURE COMMUNICATIONS
  • 2002-12. Functional SNPs in the lymphotoxin-α gene that are associated with susceptibility to myocardial infarction in NATURE GENETICS
  • 2006-04. What are DNA sequence motifs? in NATURE BIOTECHNOLOGY
  • 2015-05. Deep learning in NATURE
  • 2018-04. Using deep learning to model the hierarchical structure and function of a cell in NATURE METHODS
  • 2000-02. Proteomics: Guilt-by-association goes global in NATURE
  • 2018-12. Enhancing Hi-C data resolution with deep convolutional neural network HiCPlus in NATURE COMMUNICATIONS
  • 2016-09. PEDLA: predicting enhancers with a deep learning-based algorithmic framework in SCIENTIFIC REPORTS
  • 2018-12. Deep generative modeling for single-cell transcriptomics in NATURE METHODS
  • 2019-12. Single-cell RNA-seq denoising using a deep count autoencoder in NATURE COMMUNICATIONS
  • 2018-09-24. A universal SNP and small-indel variant caller using deep neural networks in NATURE BIOTECHNOLOGY
  • 2018-12. Deep learning to predict the lab-of-origin of engineered DNA in NATURE COMMUNICATIONS
  • 2012-09. An integrated encyclopedia of DNA elements in the human genome in NATURE
  • 2018-09-06. Deep learning in biomedicine in NATURE BIOTECHNOLOGY
  • 2007-08. Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing in NATURE METHODS
  • 2018-10-06. Dynamic Task Prioritization for Multitask Learning in COMPUTER VISION – ECCV 2018
  • 2019-12. MMSplice: modular modeling improves the predictions of genetic variant effects on splicing in GENOME BIOLOGY
  • 2018-12. AutoImpute: Autoencoder based imputation of single-cell RNA-seq data in SCIENTIFIC REPORTS
  • 2018-12. Genome-wide prediction of cis-regulatory regions using supervised deep learning methods in BMC BIOINFORMATICS
  • 2016-08. Points of Significance: Classification evaluation in NATURE METHODS
  • 2018-05. How artificial intelligence is changing drug discovery in NATURE
  • 2017-02. Dermatologist-level classification of skin cancer with deep neural networks in NATURE
  • 2018-01-29. Deep learning improves prediction of CRISPR–Cpf1 guide RNA activity in NATURE BIOTECHNOLOGY
  • 2015-10. Predicting effects of noncoding variants with deep learning-based sequence model in NATURE METHODS
  • 2018-12. Interpretable dimensionality reduction of single cell transcriptome data with deep generative models in NATURE COMMUNICATIONS
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41576-019-0122-6

    DOI

    http://dx.doi.org/10.1038/s41576-019-0122-6

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30971806


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