Home ›
Entities
› academia
› A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data
A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data
Research article (BMC Proceedings, 2016) · cited 13× · AI/ML
A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data
Summary
A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data is a scholarly article[1].
Key Facts
A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-lasso-penalized-regression-approach-for-genome-wide-association-analyses-using-related-individuals-application-to-the-
MLA“A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-lasso-penalized-regression-approach-for-genome-wide-association-analyses-using-related-individuals-application-to-the-.
BibTeX@misc{4ortxyz_a-lasso-penalized-regression-approach-for-genome-wide-association-analyses-using-related-individuals-application-to-the-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data}}, year = {2026}, url = {https://4ort.xyz/entity/a-lasso-penalized-regression-approach-for-genome-wide-association-analyses-using-related-individuals-application-to-the-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A LASSO penalized regression approach for genome-wide association analyses using related individuals: application to the Genetic Analysis Workshop 19 simulated data — https://4ort.xyz/entity/a-lasso-penalized-regression-approach-for-genome-wide-association-analyses-using-related-individuals-application-to-the- (retrieved 2026-05-24)
