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A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations

Research article (Frontiers in Genetics, 2020) · cited 39× · AI/ML
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A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations

Summary

A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations is a scholarly article[1].

Key Facts

  • A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-novel-xgboost-method-to-identify-cancer-tissue-of-origin-based-on-copy-number-variations
MLA “A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-novel-xgboost-method-to-identify-cancer-tissue-of-origin-based-on-copy-number-variations.
BibTeX @misc{4ortxyz_a-novel-xgboost-method-to-identify-cancer-tissue-of-origin-based-on-copy-number-variations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations}}, year = {2026}, url = {https://4ort.xyz/entity/a-novel-xgboost-method-to-identify-cancer-tissue-of-origin-based-on-copy-number-variations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Novel XGBoost Method to Identify Cancer Tissue-of-Origin Based on Copy Number Variations — https://4ort.xyz/entity/a-novel-xgboost-method-to-identify-cancer-tissue-of-origin-based-on-copy-number-variations (retrieved 2026-05-24)

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