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Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—<scp>ENIGMA</scp> study in people with bipolar disorders and obesity
Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—ENIGMA study in people with bipolar disorders and obesity
Summary
Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—ENIGMA study in people with bipolar disorders and obesity is a scholarly article[1].
Key Facts
Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—ENIGMA study in people with bipolar disorders and obesity's ENIGMA study in people with bipolar disorders and obesity — instance of is recorded as scholarly article[2].
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). Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—<scp>ENIGMA</scp> study in people with bipolar disorders and obesity. Retrieved May 24, 2026, from https://4ort.xyz/entity/principal-component-analysis-as-an-efficient-method-for-capturing-multivariate-brain-signatures-of-complex-disorders-scp
MLA“Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—<scp>ENIGMA</scp> study in people with bipolar disorders and obesity.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/principal-component-analysis-as-an-efficient-method-for-capturing-multivariate-brain-signatures-of-complex-disorders-scp.
BibTeX@misc{4ortxyz_principal-component-analysis-as-an-efficient-method-for-capturing-multivariate-brain-signatures-of-complex-disorders-scp_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—<scp>ENIGMA</scp> study in people with bipolar disorders and obesity}}, year = {2026}, url = {https://4ort.xyz/entity/principal-component-analysis-as-an-efficient-method-for-capturing-multivariate-brain-signatures-of-complex-disorders-scp}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Principal component analysis as an efficient method for capturing multivariate brain signatures of complex disorders—<scp>ENIGMA</scp> study in people with bipolar disorders and obesity — https://4ort.xyz/entity/principal-component-analysis-as-an-efficient-method-for-capturing-multivariate-brain-signatures-of-complex-disorders-scp (retrieved 2026-05-24)
