标题
Artificial Intelligence and Integrated Genotype–Phenotype Identification
作者
关键词
-
出版物
Genes
Volume 10, Issue 1, Pages 18
出版商
MDPI AG
发表日期
2018-12-29
DOI
10.3390/genes10010018
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Next-Generation Machine Learning for Biological Networks
- (2018) Diogo M. Camacho et al. CELL
- Never-ending learning
- (2018) T. Mitchell et al. COMMUNICATIONS OF THE ACM
- Deep Learning—A Technology With the Potential to Transform Health Care
- (2018) Geoffrey Hinton JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Data integration strategies for predictive analytics in precision medicine
- (2018) Lewis J Frey Personalized Medicine
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
- (2017) Babak Ehteshami Bejnordi et al. JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
- Toward a Taxonomy for Multi-Omics Science? Terminology Development for Whole Genome Study Approaches by Omics Technology and Hierarchy
- (2017) Nina Pirih et al. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY
- Artificial Intelligence to Win the Nobel Prize and Beyond: Creating the Engine for Scientific Discovery
- (2016) Hiroaki Kitano AI MAGAZINE
- Precision medicine informatics
- (2016) Lewis J Frey et al. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
- Mastering the game of Go with deep neural networks and tree search
- (2016) David Silver et al. NATURE
- The Human Phenotype Ontology in 2017
- (2016) Sebastian Köhler et al. NUCLEIC ACIDS RESEARCH
- A Review of Relational Machine Learning for Knowledge Graphs
- (2016) Maximilian Nickel et al. PROCEEDINGS OF THE IEEE
- 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
- A New Initiative on Precision Medicine
- (2015) Francis S. Collins et al. NEW ENGLAND JOURNAL OF MEDICINE
- Big Data: Astronomical or Genomical?
- (2015) Zachary D. Stephens et al. PLOS BIOLOGY
- A few useful things to know about machine learning
- (2012) Pedro Domingos COMMUNICATIONS OF THE ACM
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now