Related references
Note: Only part of the references are listed.Next-Generation Machine Learning for Biological Networks
Diogo M. Camacho et al.
CELL (2018)
Never-Ending Learning
T. Mitchell et al.
COMMUNICATIONS OF THE ACM (2018)
Deep Learning-A Technology With the Potential to Transform Health Care
Geoffrey Hinton
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2018)
Data integration strategies for predictive analytics in precision medicine
Lewis J. Frey
PERSONALIZED MEDICINE (2018)
Scalable and accurate deep learning with electronic health records
Alvin Rajkomar et al.
NPJ DIGITAL MEDICINE (2018)
The Human Phenotype Ontology in 2017
Sebastian Koehler et al.
NUCLEIC ACIDS RESEARCH (2017)
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Babak Ehteshami Bejnordi et al.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2017)
Toward a Taxonomy for Multi-Omics Science? Terminology Development for Whole Genome Study Approaches by Omics Technology and Hierarchy
Nina Pirih et al.
OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY (2017)
Artificial Intelligence to Win the Nobel Prize and Beyond: Creating the Engine for Scientific Discovery
Hiroaki Kitano
AI MAGAZINE (2016)
Precision medicine informatics
Lewis J. Frey et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2016)
Mastering the game of Go with deep neural networks and tree search
David Silver et al.
NATURE (2016)
A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel et al.
PROCEEDINGS OF THE IEEE (2016)
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Yuxiang Jiang et al.
GENOME BIOLOGY (2016)
Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
Babak Alipanahi et al.
NATURE BIOTECHNOLOGY (2015)
A New Initiative on Precision Medicine
Francis S. Collins et al.
NEW ENGLAND JOURNAL OF MEDICINE (2015)
Big Data: Astronomical or Genomical?
Zachary D. Stephens et al.
PLOS BIOLOGY (2015)
A Few Useful Things to Know About Machine Learning
Pedro Domingos
COMMUNICATIONS OF THE ACM (2012)
Share Paper
