Burzykowski, Tomasz

Machine Learning Identifies Stemness Features Associated with Oncogenic Dedifferentiation

Malta, T. M., Sokolov, A., Gentles, A. J., Burzykowski, T., Poisson, L., Weinstein, J. N., Kamińska, B., Huelsken, J., Omberg, L., Gevaert, O., et al. (2018) · Cell

Cancer Cells and MetastasisPluripotent Stem Cells Research

Cited by 2,180

Disease-free survival as a surrogate for overall survival in adjuvant trials of gastric cancer: a meta-analysis

Oba, K., Paoletti, X., Alberts, S., Bang, Y.-J., Benedetti, J., Bleiberg, H., Catalano, P., Lordick, F., Michiels, S., Morita, S., et al. (2013) · JNCI Journal of the National Cancer Institute

Gastric Cancer Management and OutcomesStatistical Methods in Clinical Trials

Cited by 168

Decision trees and random forests

Becker, T., Rousseau, A.-J., Geubbelmans, M., Burzykowski, T., & Valkenborg, D. (2023) · American Journal of Orthodontics and Dentofacial Orthopedics

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 133

Differences in the Elemental Isotope Definition May Lead to Errors in Modern Mass-Spectrometry-Based Proteomics

Claesen, J., Lermyte, F., Sobott, F., Burzykowski, T., & Valkenborg, D. (2015) · Analytical Chemistry

Advanced Proteomics Techniques and ApplicationsMass Spectrometry Techniques and Applications

Cited by 9