Deep learning in biomedicine

Opportunities and obstacles for deep learning in biology and medicine

(2018) Travers Ching et al.   Journal of the Royal Society Interface

Using deep learning to model the hierarchical structure and function of a cell

(2018) Jianzhu Ma et al.   NATURE METHODS

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules

(2018) Rafael Gómez-Bombarelli et al.   ACS Central Science

Reports from CAGI: The Critical Assessment of Genome Interpretation

(2017) Roger A Hoskins et al.   HUMAN MUTATION

Automated analysis of high‐content microscopy data with deep learning

(2017) Oren Z Kraus et al.   Molecular Systems Biology

Mastering the game of Go without human knowledge

(2017) David Silver et al.   NATURE

Genetic architecture: the shape of the genetic contribution to human traits and disease

(2017) Nicholas J. Timpson et al.   NATURE REVIEWS GENETICS

Deep Learning at Chest Radiography: Automated Classification of Pulmonary Tuberculosis by Using Convolutional Neural Networks

(2017) Paras Lakhani et al.   RADIOLOGY

Massively Parallel Genetics

(2016) Jay Shendure et al.   GENETICS

Basset: learning the regulatory code of the accessible genome with deep convolutional neural networks

(2016) David R. Kelley et al.   GENOME RESEARCH

Molecular graph convolutions: moving beyond fingerprints

(2016) Steven Kearnes et al.   JOURNAL OF COMPUTER-AIDED MOLECULAR DESIGN

Applications of Deep Learning in Biomedicine

(2016) Polina Mamoshina et al.   MOLECULAR PHARMACEUTICS

Deep learning for computational biology

(2016) Christof Angermueller et al.   Molecular Systems Biology

DanQ: a hybrid convolutional and recurrent deep neural network for quantifying the function of DNA sequences

(2016) Daniel Quang et al.   NUCLEIC ACIDS RESEARCH

Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets

(2016) Michael K. K. Leung et al.   PROCEEDINGS OF THE IEEE

Massively Parallel Genetics

(2016) Jay Shendure et al.   GENETICS

Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology

(2015) Sue Richards et al.   GENETICS IN MEDICINE

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships

(2015) Junshui Ma et al.   Journal of Chemical Information and Modeling

Deep Learning in Drug Discovery

(2015) Erik Gawehn et al.   Molecular Informatics

Autonomous vehicles: No drivers required

(2015) M. Mitchell Waldrop   NATURE

Human-level control through deep reinforcement learning

(2015) Volodymyr Mnih et al.   NATURE

Deep learning

(2015) Yann LeCun et al.   NATURE

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

(2015) Babak Alipanahi et al.   NATURE BIOTECHNOLOGY

Predicting effects of noncoding variants with deep learning–based sequence model

(2015) Jian Zhou et al.   NATURE METHODS

Understanding and Confronting Our Mistakes: The Epidemiology of Error in Radiology and Strategies for Error Reduction

(2015) Michael A. Bruno et al.   RADIOGRAPHICS

The human splicing code reveals new insights into the genetic determinants of disease

(2014) H. Y. Xiong et al.   SCIENCE

The Sequence Read Archive

(2010) R. Leinonen et al.   NUCLEIC ACIDS RESEARCH