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Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms
Research article (Genes, 2023) · cited 14× · AI/ML
Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms
Summary
Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms is a scholarly article[1].
Key Facts
Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms's instance of is recorded as scholarly article[2].
References
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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). Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms. Retrieved May 24, 2026, from https://4ort.xyz/entity/unlocking-the-potential-of-the-ca2-ca7-and-itm2c-gene-signatures-for-the-early-detection-of-colorectal-cancer-a-comprehe
MLA“Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unlocking-the-potential-of-the-ca2-ca7-and-itm2c-gene-signatures-for-the-early-detection-of-colorectal-cancer-a-comprehe.
BibTeX@misc{4ortxyz_unlocking-the-potential-of-the-ca2-ca7-and-itm2c-gene-signatures-for-the-early-detection-of-colorectal-cancer-a-comprehe_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/unlocking-the-potential-of-the-ca2-ca7-and-itm2c-gene-signatures-for-the-early-detection-of-colorectal-cancer-a-comprehe}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unlocking the Potential of the CA2, CA7, and ITM2C Gene Signatures for the Early Detection of Colorectal Cancer: A Comprehensive Analysis of RNA-Seq Data by Utilizing Machine Learning Algorithms — https://4ort.xyz/entity/unlocking-the-potential-of-the-ca2-ca7-and-itm2c-gene-signatures-for-the-early-detection-of-colorectal-cancer-a-comprehe (retrieved 2026-05-24)
