Home › Entities › academia › Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures

Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures

Research article (Computers in Biology and Medicine, 2023) · cited 19× · AI/ML
academia openalex:W4386248275
Press Enter · cited answer in seconds

Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures

Summary

Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures is a scholarly article[1].

Key Facts

  • Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 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). Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-analysis-of-lung-squamous-cell-carcinoma-gene-expression-datasets-reveals-novel-prognostic-signatures
MLA “Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-analysis-of-lung-squamous-cell-carcinoma-gene-expression-datasets-reveals-novel-prognostic-signatures.
BibTeX @misc{4ortxyz_machine-learning-analysis-of-lung-squamous-cell-carcinoma-gene-expression-datasets-reveals-novel-prognostic-signatures_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-analysis-of-lung-squamous-cell-carcinoma-gene-expression-datasets-reveals-novel-prognostic-signatures}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Machine learning analysis of lung squamous cell carcinoma gene expression datasets reveals novel prognostic signatures — https://4ort.xyz/entity/machine-learning-analysis-of-lung-squamous-cell-carcinoma-gene-expression-datasets-reveals-novel-prognostic-signatures (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/machine-learning-analysis-of-lung-squamous-cell-carcinoma-gene-expression-datasets-reveals-novel-prognostic-signatures · Last refreshed: