An adaptive genetic algorithm for parameter estimation of biological oscillator models to achieve target quantitative system response. - Martin Strazar; Miha Mraz; Nikolaj Zimic; Miha Moskon (Nat. Comput., 2014)

Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins. - Martin Strazar; Marinka Zitnik; Blaz Zupan; Jernej Ule; Tomaz Curk (Bioinform., 2016)

Learning the kernel matrix via predictive low-rank approximations. - Martin Strazar; Tomaz Curk (CoRR, 2016)

scOrange - a tool for hands-on training of concepts from single-cell data analytics. - Martin Strazar; Lan Zagar; Jaka Kokosar; Vesna Tanko; Ales Erjavec; Pavlin G. Policar; Anze Staric; Janez Demsar; Gad Shaulsky; Vilas Menon; Andrew Lemire; Anup Parikh; et al. (Bioinform., 2019)

Approximate multiple kernel learning with least-angle regression. - Martin Strazar; Tomaz Curk (Neurocomputing, 2019)

Efficient Matching of Single Cells and Cell Types. - Primoz Godec; Blaz Zupan; Vesna Tanko; Martin Strazar (ICHI, 2022)

Embedding to reference t-SNE space addresses batch effects in single-cell classification. - Pavlin G. Policar; Martin Strazar; Blaz Zupan (Mach. Learn., 2023)

Annotating metabolite mass spectra with domain-inspired chemical formula transformers. - Samuel Goldman; Jeremy Wohlwend; Martin Strazar; Guy Haroush; Ramnik J. Xavier; Connor W. Coley (Nat. Mac. Intell., 2023)

openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding. - Pavlin G. Policar; Martin Strazar; Blaz Zupan (J. Stat. Softw., 2024)