Evaluation of Spatially Variable Genes as Biomarkers in Tumor Initiation and Progression DOI
Aylin Seher Uzunoğlu, Merve Saide Uzunoğlu, Sümeyye Çapuk

et al.

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 53 - 82

Published: Dec. 17, 2024

The crucial role that biomarkers play in cancer research is becoming an increasingly foundational area. Biomarkers demonstrate various biological environments, and understanding their function critical to advancing biology, diagnosis, treatment. One class of biomarkers, spatially variable genes (SVGs), indicates show expression between tumor regions. environment exhibits spatial heterogeneity, with within the playing a both formation cell survival. Spatial transcriptomics, synthetic machine learning provide new ways spot those special signatures. As heterogeneity makes react differently treatments creates challenges, studying SVG might contribute treatment efficiency enable more effective individualized approach. Multidisciplinary experts from fields medicine, genetics, computer science closely link successful progress biomarker identification application clinics.

Language: Английский

Evaluation of Spatially Variable Genes as Biomarkers in Tumor Initiation and Progression DOI
Aylin Seher Uzunoğlu, Merve Saide Uzunoğlu, Sümeyye Çapuk

et al.

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 53 - 82

Published: Dec. 17, 2024

The crucial role that biomarkers play in cancer research is becoming an increasingly foundational area. Biomarkers demonstrate various biological environments, and understanding their function critical to advancing biology, diagnosis, treatment. One class of biomarkers, spatially variable genes (SVGs), indicates show expression between tumor regions. environment exhibits spatial heterogeneity, with within the playing a both formation cell survival. Spatial transcriptomics, synthetic machine learning provide new ways spot those special signatures. As heterogeneity makes react differently treatments creates challenges, studying SVG might contribute treatment efficiency enable more effective individualized approach. Multidisciplinary experts from fields medicine, genetics, computer science closely link successful progress biomarker identification application clinics.

Language: Английский

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