scholarly article | Q13442814 |
P6179 | Dimensions Publication ID | 1030302895 |
P356 | DOI | 10.1186/1753-6561-5-S9-S56 |
P932 | PMC publication ID | 3287894 |
P698 | PubMed publication ID | 22373164 |
P5875 | ResearchGate publication ID | 221869233 |
P2093 | author name string | Xin Huang | |
Junhui Wang | |||
Yixin Fang | |||
P2860 | cites work | Finding the missing heritability of complex diseases | Q22122198 |
The allelic architecture of human disease genes: common disease-common variant... or not? | Q22337148 | ||
Are rare variants responsible for susceptibility to complex diseases? | Q22337172 | ||
Regularization Paths for Generalized Linear Models via Coordinate Descent | Q29614491 | ||
Methods for detecting associations with rare variants for common diseases: application to analysis of sequence data | Q33359015 | ||
A groupwise association test for rare mutations using a weighted sum statistic | Q33408787 | ||
A data-adaptive sum test for disease association with multiple common or rare variants | Q33562753 | ||
Common vs. rare allele hypotheses for complex diseases | Q34038820 | ||
Genetic Analysis Workshop 17 mini-exome simulation | Q34175893 | ||
Statistical analysis of rare sequence variants: an overview of collapsing methods | Q35752081 | ||
Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience. | Q35937680 | ||
An evaluation of statistical approaches to rare variant analysis in genetic association studies | Q39941009 | ||
P275 | copyright license | Creative Commons Attribution 2.0 Generic | Q19125117 |
P6216 | copyright status | copyrighted | Q50423863 |
P921 | main subject | genome-wide association study | Q1098876 |
P304 | page(s) | S56 | |
P577 | publication date | 2011-11-29 | |
P1433 | published in | BMC Proceedings | Q27721520 |
P1476 | title | Identification of functional rare variants in genome-wide association studies using stability selection based on random collapsing | |
P478 | volume | 5 Suppl 9 |
Q34086440 | Multiple testing in high-throughput sequence data: experiences from Group 8 of Genetic Analysis Workshop 17. | cites work | P2860 |
Search more.