Omar Melikechi

Journal Article Bioinformatics (Oxford, England) · May 2025 MotivationFeature selection is a critical task in machine learning and statistics. However, existing feature selection methods either (i) rely on parametric methods such as linear or generalized linear models, (ii) lack theoretical false discovery ... Full text Open Access Cite

Identification of blood plasma protein ratios for distinguishing Alzheimer's disease from healthy controls using machine learning

Journal Article Heliyon · February 2025 Full text Open Access Cite

Integrated Path Stability Selection

Journal Article Journal of the American Statistical Association · January 1, 2025 Stability selection is a popular method for improving feature selection algorithms. One of its key attributes is that it provides theoretical upper bounds on the expected number of false positives, E(FP), enabling false positive control in practice. Howeve ... Full text Open Access Cite

Ellipsoid fitting with the Cayley transform.

Journal Article IEEE transactions on signal processing : a publication of the IEEE Signal Processing Society · January 2024 We introduce Cayley transform ellipsoid fitting (CTEF), an algorithm that uses the Cayley transform to fit ellipsoids to noisy data in any dimension. Unlike many ellipsoid fitting methods, CTEF is ellipsoid specific, meaning it always returns elliptic solu ... Full text Open Access Cite

Random Splitting of Fluid Models: Unique Ergodicity and Convergence

Preprint · July 1, 2023 Full text Open Access Cite

Hitting time of Brownian motion subject to shear flow

Journal Article Involve · January 1, 2022 The 2-dimensional motion of a particle subject to Brownian motion and ambient shear flow transportation is considered. Numerical experiments are carried out to explore the relation between the shear strength, box size, and the particle’s expected first hit ... Full text Open Access Cite