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 clustering linear combination approach to jointly analyze multiple phenotypes for GWAS. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-clustering-linear-combination-approach-to-jointly-analyze-multiple-phenotypes-for-gwas
MLA“A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-clustering-linear-combination-approach-to-jointly-analyze-multiple-phenotypes-for-gwas.
BibTeX@misc{4ortxyz_a-clustering-linear-combination-approach-to-jointly-analyze-multiple-phenotypes-for-gwas_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS}}, year = {2026}, url = {https://4ort.xyz/entity/a-clustering-linear-combination-approach-to-jointly-analyze-multiple-phenotypes-for-gwas}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A clustering linear combination approach to jointly analyze multiple phenotypes for GWAS — https://4ort.xyz/entity/a-clustering-linear-combination-approach-to-jointly-analyze-multiple-phenotypes-for-gwas (retrieved 2026-05-24)
