Stratified Random Forest for Genome-wide Association Study
Abstract
Recommendations
Efficient Algorithms for the Two Locus Problem in Genome-Wide Association Study: Algorithms for the Two Locus Problem
CIKM '16: Proceedings of the 25th ACM International on Conference on Information and Knowledge ManagementAdvances made in sequencing technology have resulted in the sequencing of thousands of genomes. Novel analysis tools are needed to process these data and extract useful information. Such tools could aid in personalized medicine. As an example, we could ...
Random Forest and Gene Networks for Association of SNPs to Alzheimer's Disease
BSB 2013: 8th Brazilian Symposium on Advances in Bioinformatics and Computational Biology - Volume 8213Machine learning methods, such as Random Forest (RF), have been used to predict disease risk and select a set of single nucleotide polymorphisms (SNPs) associated to the disease on Genome-Wide Association Studies (GWAS). In this study, we extracted ...
A Novel Method to Select High-risk Disease-Related Regions after a Genome Wide Haplotype-Based Association Study: An Application to Alcoholism
FSKD '09: Proceedings of the 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery - Volume 05Genome-wide association (GWA) studies based on haplo type have emerged as a new and powerful approach to identify the genetic variants involved in human complex diseases. A challenging problem after a GWA study based on haplotype is to select high-risk ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Publisher
IEEE Computer Society
United States
Publication History
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in