DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies

Research article (Biostatistics, 2023) · cited 14× · AI/ML
Press Enter · cited answer in seconds

DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies

Summary

DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies is a scholarly article[1].

Key Facts

  • DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies's instance of is recorded as scholarly article[2].

📑 Cite this page

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.

APA 4ort.xyz Knowledge Graph. (2026). DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies. Retrieved May 24, 2026, from https://4ort.xyz/entity/delivr-a-deep-learning-approach-to-iv-regression-for-testing-nonlinear-causal-effects-in-transcriptome-wide-association-
MLA “DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/delivr-a-deep-learning-approach-to-iv-regression-for-testing-nonlinear-causal-effects-in-transcriptome-wide-association-.
BibTeX @misc{4ortxyz_delivr-a-deep-learning-approach-to-iv-regression-for-testing-nonlinear-causal-effects-in-transcriptome-wide-association-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies}}, year = {2026}, url = {https://4ort.xyz/entity/delivr-a-deep-learning-approach-to-iv-regression-for-testing-nonlinear-causal-effects-in-transcriptome-wide-association-}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeLIVR: a deep learning approach to IV regression for testing nonlinear causal effects in transcriptome-wide association studies — https://4ort.xyz/entity/delivr-a-deep-learning-approach-to-iv-regression-for-testing-nonlinear-causal-effects-in-transcriptome-wide-association- (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/delivr-a-deep-learning-approach-to-iv-regression-for-testing-nonlinear-causal-effects-in-transcriptome-wide-association- · Last refreshed: