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Page 1
An application of raman spectroscopy in combination with machine learning to determine gastric cancer spectroscopy marker.
Guleken Z, Jakubczyk P, Paja W, Pancerz K, Wosiak A, Yaylım İ, İnal Gültekin G, Tarhan N, Hakan MT, Sönmez D, Sarıbal D, Arıkan S, Depciuch J. Guleken Z, et al. Among authors: sonmez d. Comput Methods Programs Biomed. 2023 Jun;234:107523. doi: 10.1016/j.cmpb.2023.107523. Epub 2023 Mar 31. Comput Methods Programs Biomed. 2023. PMID: 37030138
Predicting the predisposition to colorectal cancer based on SNP profiles of immune phenotypes using supervised learning models.
Cakmak A, Ayaz H, Arıkan S, Ibrahimzada AR, Demirkol Ş, Sönmez D, Hakan MT, Sürmen ST, Horozoğlu C, Doğan MB, Küçükhüseyin Ö, Cacına C, Kıran B, Zeybek Ü, Baysan M, Yaylım İ. Cakmak A, et al. Among authors: sonmez d. Med Biol Eng Comput. 2023 Jan;61(1):243-258. doi: 10.1007/s11517-022-02707-9. Epub 2022 Nov 11. Med Biol Eng Comput. 2023. PMID: 36357628
Correlation between human colon cancer specific antigens and Raman spectra. Attempting to use Raman spectroscopy in the determination of tumor markers for colon cancer.
Depciuch J, Jakubczyk P, Paja W, Pancerz K, Wosiak A, Kula-Maximenko M, Yaylım İ, Gültekin Gİ, Tarhan N, Hakan MT, Sönmez D, Sarıbal D, Arıkan S, Guleken Z. Depciuch J, et al. Among authors: sonmez d. Nanomedicine. 2023 Feb;48:102657. doi: 10.1016/j.nano.2023.102657. Epub 2023 Jan 14. Nanomedicine. 2023. PMID: 36646194
60 results