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A Novel Quantitative Method for the Detection of Lipofuscin, the Main By-Product of Cellular Senescence, in Fluids.
Rizou SV, Evangelou K, Myrianthopoulos V, Mourouzis I, Havaki S, Athanasiou A, Vasileiou PVS, Margetis A, Kotsinas A, Kastrinakis NG, Sfikakis P, Townsend P, Mikros E, Pantos C, Gorgoulis VG. Rizou SV, et al. Among authors: sfikakis p. Methods Mol Biol. 2019;1896:119-138. doi: 10.1007/978-1-4939-8931-7_12. Methods Mol Biol. 2019. PMID: 30474845
Allelic imbalance at the 5q14 locus is associated with decreased apoptotic rate in non-small cell lung carcinomas (NSCLCs). Possible synergistic effect with p53 gene alterations on apoptosis.
Gorgoulis VG, Mariatos1 G, Manolis EN, Zacharatos P, Kotsinas A, Liloglou T, Vogiatzi T, Tsagkaraki A, Kokotas S, Tsoli E, Alchanatis M, Sfikakis PP, Asimacopoulos PJ, Field JK, Kittas C. Gorgoulis VG, et al. Among authors: sfikakis pp. Lung Cancer. 2000 Jun;28(3):211-24. doi: 10.1016/s0169-5002(99)00137-3. Lung Cancer. 2000. PMID: 10812190
Association of plasma fetuin-a levels with peripheral arterial disease and lower extremity arterial calcification in subjects with type 2 diabetes mellitus.
Eleftheriadou I, Grigoropoulou P, Kokkinos A, Mourouzis I, Perrea D, Katsilambros N, Sfikakis PP, Tentolouris N. Eleftheriadou I, et al. Among authors: sfikakis pp. J Diabetes Complications. 2017 Mar;31(3):599-604. doi: 10.1016/j.jdiacomp.2016.11.006. Epub 2016 Nov 12. J Diabetes Complications. 2017. PMID: 27899247
Correction to: A Novel Quantitative Method for the Detection of Lipofuscin, the Main By-Product of Cellular Senescence, in Fluids.
Rizou SV, Evangelou K, Myrianthopoulos V, Mourouzis I, Havaki S, Athanasiou A, Vasileiou PVS, Margetis A, Kotsinas A, Kastrinakis NG, Sfikakis P, Townsend P, Mikros E, Pantos C, Gorgoulis VG. Rizou SV, et al. Among authors: sfikakis p. Methods Mol Biol. 2019;1896:C1-C2. doi: 10.1007/978-1-4939-8931-7_19. Methods Mol Biol. 2019. PMID: 30725385
Machine learning and data mining frameworks for predicting drug response in cancer: An overview and a novel in silico screening process based on association rule mining.
Vougas K, Sakellaropoulos T, Kotsinas A, Foukas GP, Ntargaras A, Koinis F, Polyzos A, Myrianthopoulos V, Zhou H, Narang S, Georgoulias V, Alexopoulos L, Aifantis I, Townsend PA, Sfikakis P, Fitzgerald R, Thanos D, Bartek J, Petty R, Tsirigos A, Gorgoulis VG. Vougas K, et al. Among authors: sfikakis p. Pharmacol Ther. 2019 Nov;203:107395. doi: 10.1016/j.pharmthera.2019.107395. Epub 2019 Jul 30. Pharmacol Ther. 2019. PMID: 31374225 Review.
A Deep Learning Framework for Predicting Response to Therapy in Cancer.
Sakellaropoulos T, Vougas K, Narang S, Koinis F, Kotsinas A, Polyzos A, Moss TJ, Piha-Paul S, Zhou H, Kardala E, Damianidou E, Alexopoulos LG, Aifantis I, Townsend PA, Panayiotidis MI, Sfikakis P, Bartek J, Fitzgerald RC, Thanos D, Mills Shaw KR, Petty R, Tsirigos A, Gorgoulis VG. Sakellaropoulos T, et al. Among authors: sfikakis p. Cell Rep. 2019 Dec 10;29(11):3367-3373.e4. doi: 10.1016/j.celrep.2019.11.017. Cell Rep. 2019. PMID: 31825821 Free article.
644 results