Recent Bioinformatics Advances in the Analysis of High Throughput Flow Cytometry Data. - Raphael Gottardo; Ryan Remy Brinkman; George Luta; Matthew P. Wand (Adv. Bioinformatics, 2009)

The curvHDR method for gating flow cytometry samples. - Ulrike Naumann; George Luta; Matthew P. Wand (BMC Bioinform., 2010)

A new point containment test algorithm based on preprocessing and determining triangles. - Jianfei Liu; Y. Q. Chen; José M. Maisog; George Luta (Comput. Aided Des., 2010)

Parametric cost-effectiveness inference with skewed data. - Ionut Bebu; George Luta; Thomas Mathew; Paul A. Kennedy; Brian K. Agan (Comput. Stat. Data Anal., 2016)

Tensor Networks for Latent Variable Analysis: Novel Algorithms for Tensor Train Approximation. - Anh-Huy Phan 001; Andrzej Cichocki; André Uschmajew; Petr Tichavský; George Luta; Danilo P. Mandic (IEEE Trans. Neural Networks Learn. Syst., 2020)

A2Sign: Agnostic Algorithms for Signatures - a universal method for identifying molecular signatures from transcriptomic datasets prior to cell-type deconvolution. - Galina Boldina; Paul Fogel; Corinne Rocher; Charles Bettembourg; George Luta; Franck Augé (Bioinform., 2022)

On testing the equality between interquartile ranges. - Luca Greco 004; George Luta; Rand R. Wilcox (Comput. Stat., 2024)

On board with COMET to improve omics prediction models. - Paul Fogel; George Luta (Nat. Mac. Intell., 2025)

CoxNTF: A New Approach for Joint Clustering and Prediction in Survival Analysis. - Paul Fogel; Christophe Geissler; George Luta (CoRR, 2025)

The Target Polish: A New Approach to Outlier-Resistant Non-Negative Matrix and Tensor Factorization. - Paul Fogel; Christophe Geissler; George Luta (CoRR, 2025)