Polewko-Klim, A., Grablis, P., Rudnicki, W. (2024). EnsembleFS: an R Toolkit and a Web-Based Tool for a Filter Ensemble Feature Selection of Molecular Omics Data. In: Franco, L., de Mulatier, C., Paszynski, M., Krzhizhanovskaya, V.V., Dongarra, J.J., Sloot, P.M.A. (eds) Computational Science – ICCS 2024. ICCS 2024. Lecture Notes in Computer Science, vol 14835. Springer, Cham. https://doi.org/10.1007/978-3-031-63772-8_7 The development of more complex biomarker selection protocols based on the machine learning (ML) approach, with additional processing of…
Tag: feature selection
New paper in International Journal of Molecular Sciences!
R. Piliszek, A. A. Brożyna, W. R. Rudnicki. Computational Analysis Identifies Novel Biomarkers for High-Risk Bladder Cancer Patients. International Journal of Molecular Sciences 23.13: 7057 (2022), DOI: 10.3390/ijms23137057 (140 pkt. MNiSzW) In the case of bladder cancer, carcinoma in situ (CIS) is known to have poor diagnosis. However, there are not enough studies that examine the biomarkers relevant to CIS development. Omics experiments generate data with tens of thousands of…