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2020 – today
- 2024
[j7]Pavlin G. Policar
, Martin Strazar, Blaz Zupan:
openTSNE: A Modular Python Library for t-SNE Dimensionality Reduction and Embedding. J. Stat. Softw. 109(3) (2024)- 2023
- [j6]Pavlin G. Policar, Martin Strazar, Blaz Zupan:
Embedding to reference t-SNE space addresses batch effects in single-cell classification. Mach. Learn. 112(2): 721-740 (2023) - [j5]Samuel Goldman, Jeremy Wohlwend, Martin Strazar, Guy Haroush, Ramnik J. Xavier, Connor W. Coley:
Annotating metabolite mass spectra with domain-inspired chemical formula transformers. Nat. Mac. Intell. 5(9): 965-979 (2023) - 2022
- [c2]Primoz Godec, Blaz Zupan, Vesna Tanko, Martin Strazar:
Efficient Matching of Single Cells and Cell Types. ICHI 2022: 633-638
2010 – 2019
- 2019
- [j4]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, Blaz Zupan:
scOrange - a tool for hands-on training of concepts from single-cell data analytics. Bioinform. 35(14): i4-i12 (2019) - [j3]Martin Strazar, Tomaz Curk:
Approximate multiple kernel learning with least-angle regression. Neurocomputing 340: 245-258 (2019) - [c1]Pavlin G. Policar, Martin Strazar, Blaz Zupan:
Embedding to Reference t-SNE Space Addresses Batch Effects in Single-Cell Classification. DS 2019: 246-260 - 2016
- [j2]Martin Strazar, Marinka Zitnik, Blaz Zupan, Jernej Ule, Tomaz Curk:
Orthogonal matrix factorization enables integrative analysis of multiple RNA binding proteins. Bioinform. 32(10): 1527-1535 (2016) - [i1]Martin Strazar, Tomaz Curk:
Learning the kernel matrix via predictive low-rank approximations. CoRR abs/1601.04366 (2016) - 2014
- [j1]Martin Strazar, Miha Mraz, Nikolaj Zimic, Miha Moskon:
An adaptive genetic algorithm for parameter estimation of biological oscillator models to achieve target quantitative system response. Nat. Comput. 13(1): 119-127 (2014)
Coauthor Index
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