Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting <i>PBRM1</i> Mutation Status

Research article (American Journal of Roentgenology, 2019) · cited 115× · AI/ML
Press Enter · cited answer in seconds

Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status

Summary

Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status is a scholarly article[1].

Key Facts

  • Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting PBRM1 Mutation Status'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). Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting <i>PBRM1</i> Mutation Status. Retrieved May 24, 2026, from https://4ort.xyz/entity/radiogenomics-in-clear-cell-renal-cell-carcinoma-machine-learningbased-high-dimensional-quantitative-ct-texture-analysis
MLA “Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting <i>PBRM1</i> Mutation Status.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/radiogenomics-in-clear-cell-renal-cell-carcinoma-machine-learningbased-high-dimensional-quantitative-ct-texture-analysis.
BibTeX @misc{4ortxyz_radiogenomics-in-clear-cell-renal-cell-carcinoma-machine-learningbased-high-dimensional-quantitative-ct-texture-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting <i>PBRM1</i> Mutation Status}}, year = {2026}, url = {https://4ort.xyz/entity/radiogenomics-in-clear-cell-renal-cell-carcinoma-machine-learningbased-high-dimensional-quantitative-ct-texture-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Radiogenomics in Clear Cell Renal Cell Carcinoma: Machine Learning–Based High-Dimensional Quantitative CT Texture Analysis in Predicting <i>PBRM1</i> Mutation Status — https://4ort.xyz/entity/radiogenomics-in-clear-cell-renal-cell-carcinoma-machine-learningbased-high-dimensional-quantitative-ct-texture-analysis (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/radiogenomics-in-clear-cell-renal-cell-carcinoma-machine-learningbased-high-dimensional-quantitative-ct-texture-analysis · Last refreshed: