标题
Machine Learning SNP Based Prediction for Precision Medicine
作者
关键词
-
出版物
Frontiers in Genetics
Volume 10, Issue -, Pages -
出版商
Frontiers Media SA
发表日期
2019-03-27
DOI
10.3389/fgene.2019.00267
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。- A high-bias, low-variance introduction to Machine Learning for physicists
- (2019) Pankaj Mehta et al. PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS
- Single Nucleotide Polymorphism relevance learning with Random Forests for Type 2 diabetes risk prediction
- (2018) Beatriz López et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- Recent Trends in Deep Learning Based Natural Language Processing [Review Article]
- (2018) Tom Young et al. IEEE Computational Intelligence Magazine
- Seasonality of depressive symptoms in women but not in men: A cross-sectional study in the UK Biobank cohort
- (2018) Laura M. Lyall et al. JOURNAL OF AFFECTIVE DISORDERS
- A computational framework for predicting obesity risk based on optimizing and integrating genetic risk score and gene expression profiles
- (2018) Paule V. Joseph et al. PLoS One
- Deep learning in omics: a survey and guideline
- (2018) Zhiqiang Zhang et al. Briefings in Functional Genomics
- A Pharmacogenetic Prediction Model of Progression-Free Survival in Breast Cancer using Genome-Wide Genotyping Data from CALGB 40502 (Alliance)
- (2018) Sara R. Rashkin et al. CLINICAL PHARMACOLOGY & THERAPEUTICS
- Case-only Methods Identified Genetic Loci Predicting a Subgroup of Men with Reduced Risk of High-grade Prostate Cancer by Finasteride
- (2018) James Y. Dai et al. Cancer Prevention Research
- Lean non-alcoholic fatty liver disease (lean NAFLD): characteristics, metabolic outcomes and risk factors from a 7-year prospective, community cohort study from Sri Lanka
- (2018) Madunil Anuk Niriella et al. Hepatology International
- Prediction of CRISPR sgRNA Activity Using a Deep Convolutional Neural Network
- (2018) Li Xue et al. Journal of Chemical Information and Modeling
- A crowdsourced analysis to identify ab initio molecular signatures predictive of susceptibility to viral infection
- (2018) Slim Fourati et al. Nature Communications
- Chromatin interactions and expression quantitative trait loci reveal genetic drivers of multimorbidities
- (2018) Tayaza Fadason et al. Nature Communications
- Type 1 Diabetes Mellitus-Associated Genetic Variants Contribute to Overlapping Immune Regulatory Networks
- (2018) Denis M. Nyaga et al. Frontiers in Genetics
- GWAS on prolonged gestation (post-term birth): analysis of successive Finnish birth cohorts
- (2017) William Schierding et al. JOURNAL OF MEDICAL GENETICS
- Estimating the causal tissues for complex traits and diseases
- (2017) Halit Ongen et al. NATURE GENETICS
- The Genetics of Multiple Sclerosis: From 0 to 200 in 50 Years
- (2017) Sergio E. Baranzini et al. TRENDS IN GENETICS
- Physical Interactions and Expression Quantitative Traits Loci Identify Regulatory Connections for Obesity and Type 2 Diabetes Associated SNPs
- (2017) Tayaza Fadason et al. Frontiers in Genetics
- Contrasting the Genetic Architecture of 30 Complex Traits from Summary Association Data
- (2016) Huwenbo Shi et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Intergenic GWAS SNPs are key components of the spatial and regulatory network for human growth
- (2016) William Schierding et al. HUMAN MOLECULAR GENETICS
- Polygenic risk score prediction of antipsychotic dosage in schizophrenia
- (2016) Nuwan C. Hettige et al. SCHIZOPHRENIA RESEARCH
- Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies
- (2016) Bettina Mieth et al. Scientific Reports
- Genome-wide association data classification and SNPs selection using two-stage quality-based Random Forests
- (2015) Thanh-Tung Nguyen et al. BMC GENOMICS
- Common polygenic variation enhances risk prediction for Alzheimer’s disease
- (2015) Valentina Escott-Price et al. BRAIN
- Genomic risk prediction of complex human disease and its clinical application
- (2015) Gad Abraham et al. CURRENT OPINION IN GENETICS & DEVELOPMENT
- Unsupervised learning based feature extraction for differential diagnosis of neurodegenerative diseases: A case study on early-stage diagnosis of Parkinson disease
- (2015) Gurpreet Singh et al. JOURNAL OF NEUROSCIENCE METHODS
- A global reference for human genetic variation
- (2015) Richard A. Gibbs 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
- The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
- (2015) et al. SCIENCE
- Predicting Metabolic Syndrome Using the Random Forest Method
- (2015) Apilak Worachartcheewan et al. TheScientificWorldJOURNAL
- Genetic markers of type 2 diabetes: Progress in genome-wide association studies and clinical application for risk prediction
- (2015) Xueyin Wang et al. Journal of Diabetes
- Predicting Metabolic Syndrome Using the Random Forest Method
- (2015) Apilak Worachartcheewan et al. Scientific World Journal
- Connecting SNPs in Diabetes: A Spatial Analysis of Meta-GWAS Loci
- (2015) William Schierding et al. Frontiers in Endocrinology
- Understanding and checking the assumptions of linear regression: a primer for medical researchers
- (2014) Robert J Casson et al. CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY
- Research Review: Polygenic methods and their application to psychiatric traits
- (2014) Naomi R. Wray et al. JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY
- The Construction of Risk Prediction Models Using GWAS Data and Its Application to a Type 2 Diabetes Prospective Cohort
- (2014) Daichi Shigemizu et al. PLoS One
- Regularized Machine Learning in the Genetic Prediction of Complex Traits
- (2014) Sebastian Okser et al. PLoS Genetics
- Accurate and Robust Genomic Prediction of Celiac Disease Using Statistical Learning
- (2014) Gad Abraham et al. PLoS Genetics
- Large Sample Size, Wide Variant Spectrum, and Advanced Machine-Learning Technique Boost Risk Prediction for Inflammatory Bowel Disease
- (2013) Zhi Wei et al. AMERICAN JOURNAL OF HUMAN GENETICS
- Improved and Promising Identification of Human MicroRNAs by Incorporating a High-Quality Negative Set
- (2013) Leyi Wei et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- Using methods from the data-mining and machine-learning literature for disease classification and prediction: a case study examining classification of heart failure subtypes
- (2013) Peter C. Austin et al. JOURNAL OF CLINICAL EPIDEMIOLOGY
- Bringing genome-wide association findings into clinical use
- (2013) Teri A. Manolio NATURE REVIEWS GENETICS
- Expression quantitative trait loci: present and future
- (2013) A. C. Nica et al. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
- Chromatin stretch enhancer states drive cell-specific gene regulation and harbor human disease risk variants
- (2013) S. C. J. Parker et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The Faces of Personalized Medicine: A Framework for Understanding Its Meaning and Scope
- (2013) W. Ken Redekop et al. VALUE IN HEALTH
- Pathways-Driven Sparse Regression Identifies Pathways and Genes Associated with High-Density Lipoprotein Cholesterol in Two Asian Cohorts
- (2013) Matt Silver et al. PLoS Genetics
- Power and Predictive Accuracy of Polygenic Risk Scores
- (2013) Frank Dudbridge PLoS Genetics
- Genetic variants and their interactions in disease risk prediction – machine learning and network perspectives
- (2013) Sebastian Okser et al. BioData Mining
- Evaluation of genetic risk score models in the presence of interaction and linkage disequilibrium
- (2013) Ronglin Che et al. Frontiers in Genetics
- Wrapper-based selection of genetic features in genome-wide association studies through fast matrix operations
- (2012) Tapio Pahikkala et al. Algorithms for Molecular Biology
- Five Years of GWAS Discovery
- (2012) Peter M. Visscher et al. AMERICAN JOURNAL OF HUMAN GENETICS
- How to evaluate performance of prediction methods? Measures and their interpretation in variation effect analysis
- (2012) Mauno Vihinen BMC GENOMICS
- Data mining in the Life Sciences with Random Forest: a walk in the park or lost in the jungle?
- (2012) W. G. Touw et al. BRIEFINGS IN BIOINFORMATICS
- Personalized medicine: hope or hype
- (2012) N. J. Wald et al. EUROPEAN HEART JOURNAL
- Personalized medicine: hope or hype?
- (2012) K. Salari et al. EUROPEAN HEART JOURNAL
- Performance and Robustness of Penalized and Unpenalized Methods for Genetic Prediction of Complex Human Disease
- (2012) Gad Abraham et al. GENETIC EPIDEMIOLOGY
- Random forests for genomic data analysis
- (2012) Xi Chen et al. GENOMICS
- ‘Personalized Medicine’ To Identify Genetic Risks For Type 2 Diabetes And Focus Prevention: Can It Fulfill Its Promise?
- (2012) Allen M. Spiegel et al. HEALTH AFFAIRS
- Risk estimation and risk prediction using machine-learning methods
- (2012) Jochen Kruppa et al. HUMAN GENETICS
- Guidelines for Reporting and Using Prediction Tools for Genetic Variation Analysis
- (2012) Mauno Vihinen HUMAN MUTATION
- Human diseases through the lens of network biology
- (2012) Laura I. Furlong TRENDS IN GENETICS
- Overview of random forest methodology and practical guidance with emphasis on computational biology and bioinformatics
- (2012) Anne-Laure Boulesteix et al. Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery
- Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience
- (2011) Abhijit Dasgupta et al. GENETIC EPIDEMIOLOGY
- Genetic risk prediction in complex disease
- (2011) Luke Jostins et al. HUMAN MOLECULAR GENETICS
- Multi-modal multi-task learning for joint prediction of multiple regression and classification variables in Alzheimer's disease
- (2011) Daoqiang Zhang et al. NEUROIMAGE
- Application of support vector machine modeling for prediction of common diseases: the case of diabetes and pre-diabetes
- (2010) Wei Yu et al. BMC Medical Informatics and Decision Making
- Risk prediction using genome-wide association studies
- (2010) Charles Kooperberg et al. GENETIC EPIDEMIOLOGY
- Feature Selection for Classification of Hyperspectral Data by SVM
- (2010) Mahesh Pal et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Personalized Medicine: Understanding Probabilities and Managing Expectations
- (2010) Zachary Laksman et al. JOURNAL OF GENERAL INTERNAL MEDICINE
- A multilocus genetic risk score for coronary heart disease: case-control and prospective cohort analyses
- (2010) Samuli Ripatti et al. LANCET
- Clinical assessment incorporating a personal genome
- (2010) Euan A Ashley et al. LANCET
- Evaluating diagnostic accuracy of genetic profiles in affected offspring families
- (2010) Jerome Carayol et al. STATISTICS IN MEDICINE
- Genetic Variants and Their Interactions in the Prediction of Increased Pre-Clinical Carotid Atherosclerosis: The Cardiovascular Risk in Young Finns Study
- (2010) Sebastian Okser et al. PLoS Genetics
- Genome-wide association analysis by lasso penalized logistic regression
- (2009) Tong Tong Wu et al. BIOINFORMATICS
- A random forest approach to the detection of epistatic interactions in case-control studies
- (2009) Rui Jiang et al. BMC BIOINFORMATICS
- Genetic Scoring Analysis: a way forward in Genome Wide Association Studies?
- (2009) Najaf Amin et al. EUROPEAN JOURNAL OF EPIDEMIOLOGY
- Harnessing the information contained within genome-wide association studies to improve individual prediction of complex disease risk
- (2009) David M. Evans et al. HUMAN MOLECULAR GENETICS
- Supervised learning with decision tree-based methods in computational and systems biology
- (2009) Pierre Geurts et al. Molecular BioSystems
- Common polygenic variation contributes to risk of schizophrenia and bipolar disorder
- (2009) Shaun M. Purcell et al. NATURE
- Prediction and Interaction in Complex Disease Genetics: Experience in Type 1 Diabetes
- (2009) David G. Clayton PLoS Genetics
- From Disease Association to Risk Assessment: An Optimistic View from Genome-Wide Association Studies on Type 1 Diabetes
- (2009) Zhi Wei et al. PLoS Genetics
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started