Andrei Yu. Zinovyev - researchr alias

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Viewing Publication 1 - 30 from 30

2023

Omics data integration in computational biology viewed through the prism of machine learning paradigmsAziz Fouché, Andrei Yu. Zinovyev. fbinf, 3, May 2023. [doi]

Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution DataEvgeny M. Mirkes, Jonathan Bac, Aziz Fouché, Sergey V. Stasenko, Andrei Yu. Zinovyev, Alexander N. Gorban. entropy, 25(1):33, January 2023. [doi]

2022

Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic dataElise Amblard, Jonathan Bac, Alexander Chervov, Vassili Soumelis, Andrei Yu. Zinovyev. bioinformatics, 38(4):1045-1051, 2022. [doi]

BIODICA: a computational environment for Independent Component Analysis of omics dataNicolas Captier, Jane Merlevede, Askhat Molkenov, Ainur Seisenova, Altynbek Zhubanchaliyev, Petr V. Nazarov, Emmanuel Barillot, Ulykbek Kairov, Andrei Yu. Zinovyev. bioinformatics, 38(10):2963-2964, 2022. [doi]

Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning MethodsNatalya A. Rybnikova, Boris A. Portnov, Evgeny M. Mirkes, Andrei Yu. Zinovyev, Anna Brook, Alexander N. Gorban. tgrs, 60:1-15, 2022. [doi]

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisationQinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin. ijcnn 2022: 1-8 [doi]

2021

2020

Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraphLuca Albergante, Evgeny M. Mirkes, Jonathan Bac, Huidong Chen, Alexis Martin, Louis Faure, Emmanuel Barillot, Luca Pinello, Alexander N. Gorban, Andrei Yu. Zinovyev. entropy, 22(3):296, 2020. [doi]

Local intrinsic dimensionality estimators based on concentration of measureJonathan Bac, Andrei Yu. Zinovyev. ijcnn 2020: 1-8 [doi]

cd2sbgnml: bidirectional conversion between CellDesigner and SBGN formatsIrina Balaur, Ludovic Roy, Alexander Mazein, S. Gökberk Karaca, Ugur Dogrusoz, Emmanuel Barillot, Andrei Yu. Zinovyev. bioinformatics, 36(8):2620-2622, 2020. [doi]

Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional DatasetsAlexander Chervov, Jonathan Bac, Andrei Yu. Zinovyev. entropy, 22(11):1274, 2020. [doi]

Synthesis and Simulation of Ensembles of Boolean Networks for Cell Fate DecisionStéphanie Chevalier, Vincent Noël, Laurence Calzone, Andrei Yu. Zinovyev, Loïc Paulevé. cmsb 2020: 193-209 [doi]

Exact solving and sensitivity analysis of stochastic continuous time Boolean modelsMihály Koltai, Vincent Noel, Andrei Yu. Zinovyev, Laurence Calzone, Emmanuel Barillot. bmcbi, 21(1):241, 2020. [doi]

Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection networkAndrei Yu. Zinovyev, Urszula Czerwinska, Laura Cantini, Emmanuel Barillot, Klaus M. Frahm, Dima L. Shepelyansky. ploscb, 16(2), 2020. [doi]

2016

Calculating Biological Module Enrichment or Depletion and Visualizing Data on Large-scale Molecular Maps with ACSNMineR and RNaviCell PackagesPaul Deveau, Emmanuel Barillot, Valentina Boeva, Andrei Yu. Zinovyev, Eric Bonnet. rjour, 8(2):293, 2016. [doi]

Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learningAlexander N. Gorban, Eugenij Moiseevich Mirkes, Andrei Yu. Zinovyev. NN, 84:28-38, 2016. [doi]

2015

Mathematical Modelling of Molecular Pathways Enabling Tumour Cell Invasion and MigrationDavid P. A. Cohen, Loredana Martignetti, Sylvie Robine, Emmanuel Barillot, Andrei Yu. Zinovyev, Laurence Calzone. ploscb, 11(11), 2015. [doi]

Fast and user-friendly non-linear principal manifold learning by method of elastic mapsAlexander N. Gorban, Andrei Yu. Zinovyev. dsaa 2015: 1-9 [doi]

2013

Synthetic Lethality between Gene Defects Affecting a Single Non-essential Molecular Pathway with Reversible StepsAndrei Yu. Zinovyev, Inna Kuperstein, Emmanuel Barillot, Wolf-Dietrich Heyer. ploscb, 9(4), 2013. [doi]

2010

Principal Manifolds and Graphs in Practice: from Molecular Biology to Dynamical SystemsAlexander N. Gorban, Andrei Yu. Zinovyev. IJNS, 20(3):219-232, 2010. [doi]

2007

Branching Principal Components: Elastic Graphs, Topological Grammars and Metro MapsAlexander N. Gorban, Neil R. Sumner, Andrei Yu. Zinovyev. ijcnn 2007: 2586-2591 [doi]

Topological grammars for data approximationAlexander N. Gorban, Neil R. Sumner, Andrei Yu. Zinovyev. appml, 20(4):382-386, 2007. [doi]

2006

Topological Grammars for Data ApproximationAlexander N. Gorban, Neil R. Sumner, Andrei Yu. Zinovyev. corr, abs/cs/0603090, 2006. [doi]

2005

Four basic symmetry types in the universal 7-cluster structure of microbial genomic sequencesAlexander N. Gorban, Tatyana G. Popova, Andrei Yu. Zinovyev. isb, 5:265-282, 2005. [doi]

Elastic Principal Graphs and Manifolds and their Practical ApplicationsAlexander N. Gorban, Andrei Yu. Zinovyev. computing, 75(4):359-379, 2005. [doi]

2003

Seven clusters in genomic triplet distributionsAlexander N. Gorban, Andrei Yu. Zinovyev, Tatyana G. Popova. isb, 3:39, 2003. [doi]

Self-Organizing Approach for Automated Gene IdentificationAndrei Yu. Zinovyev, Alexander N. Gorban, Tatyana G. Popova. osid, 10(4):321-334, 2003. [doi]

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