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Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium – application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data
Research article (PROTEOMICS, 2016) · cited 28× · AI/ML
Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium – application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data
Summary
Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium – application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data is a scholarly article[1].
Key Facts
Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium – application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium – application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-molecular-signatures-of-oral-squamous-cell-carcinoma-and-normal-epithelium-application-of-a-novel-methodolo
MLA“Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium – application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-molecular-signatures-of-oral-squamous-cell-carcinoma-and-normal-epithelium-application-of-a-novel-methodolo.
BibTeX@misc{4ortxyz_detection-of-molecular-signatures-of-oral-squamous-cell-carcinoma-and-normal-epithelium-application-of-a-novel-methodolo_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium – application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-molecular-signatures-of-oral-squamous-cell-carcinoma-and-normal-epithelium-application-of-a-novel-methodolo}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection of molecular signatures of oral squamous cell carcinoma and normal epithelium – application of a novel methodology for unsupervised segmentation of imaging mass spectrometry data — https://4ort.xyz/entity/detection-of-molecular-signatures-of-oral-squamous-cell-carcinoma-and-normal-epithelium-application-of-a-novel-methodolo (retrieved 2026-05-24)