Andrei Yu. Zinovyev

Orcid: 0000-0002-9517-7284

Affiliations:
  • PSL Research University, Institut Curie, Paris, France
  • Lobachevsky University, Nizhny Novgorod, Russia


According to our database1, Andrei Yu. Zinovyev authored at least 71 papers between 2003 and 2023.

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Bibliography

2023
Omics data integration in computational biology viewed through the prism of machine learning paradigms.
Frontiers Bioinform., May, 2023

Domain Adaptation Principal Component Analysis: Base Linear Method for Learning with Out-of-Distribution Data.
Entropy, January, 2023

Exploring the impact of social stress on the adaptive dynamics of COVID-19: Typing the behavior of naïve populations faced with epidemics.
CoRR, 2023

2022
Coloring Panchromatic Nighttime Satellite Images: Comparing the Performance of Several Machine Learning Methods.
IEEE Trans. Geosci. Remote. Sens., 2022

BIODICA: a computational environment for Independent Component Analysis of omics data.
Bioinform., 2022

Hubness reduction improves clustering and trajectory inference in single-cell transcriptomic data.
Bioinform., 2022

Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation.
Proceedings of the International Joint Conference on Neural Networks, 2022

2021
Scikit-Dimension: A Python Package for Intrinsic Dimension Estimation.
Entropy, 2021

Clinical trajectories estimated from bulk tumoral molecular profiles using elastic principal trees.
Proceedings of the International Joint Conference on Neural Networks, 2021

LNetReduce: Tool for Reducing Linear Dynamic Networks with Separated Timescales.
Proceedings of the Computational Methods in Systems Biology, 2021

2020
Collective intelligence defines biological functions in Wikipedia as communities in the hidden protein connection network.
PLoS Comput. Biol., 2020

Minimum Spanning vs. Principal Trees for Structured Approximations of Multi-Dimensional Datasets.
Entropy, 2020

Robust and Scalable Learning of Complex Intrinsic Dataset Geometry via ElPiGraph.
Entropy, 2020

Trajectories, bifurcations and pseudotime in large clinical datasets: applications to myocardial infarction and diabetes data.
CoRR, 2020

Exact solving and sensitivity analysis of stochastic continuous time Boolean models.
BMC Bioinform., 2020

cd2sbgnml: bidirectional conversion between CellDesigner and SBGN formats.
Bioinform., 2020

Local intrinsic dimensionality estimators based on concentration of measure.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Synthesis and Simulation of Ensembles of Boolean Networks for Cell Fate Decision.
Proceedings of the Computational Methods in Systems Biology, 2020

2019
The Virtual Metabolic Human database: integrating human and gut microbiome metabolism with nutrition and disease.
Nucleic Acids Res., 2019

Lizard Brain: Tackling Locally Low-Dimensional Yet Globally Complex Organization of Multi-Dimensional Datasets.
Frontiers Neurorobotics, 2019

Metabolic and signalling network maps integration: application to cross-talk studies and omics data analysis in cancer.
BMC Bioinform., 2019

PhysiBoSS: a multi-scale agent-based modelling framework integrating physical dimension and cell signalling.
Bioinform., 2019

Assessing reproducibility of matrix factorization methods in independent transcriptomes.
Bioinform., 2019

Community-driven roadmap for integrated disease maps.
Briefings Bioinform., 2019

Conceptual and computational framework for logical modelling of biological networks deregulated in diseases.
Briefings Bioinform., 2019

Application of Atlas of Cancer Signalling Network in preclinical studies.
Briefings Bioinform., 2019

Estimating the effective dimension of large biological datasets using Fisher separability analysis.
Proceedings of the International Joint Conference on Neural Networks, 2019

Synthesis of Boolean Networks from Biological Dynamical Constraints using Answer-Set Programming.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Robust and scalable learning of data manifolds with complex topologies via ElPiGraph.
CoRR, 2018

Signalling maps in cancer research: construction and data analysis.
Database J. Biol. Databases Curation, 2018

Data analysis with arbitrary error measures approximated by piece-wise quadratic PQSQ functions.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Application of Independent Component Analysis to Tumor Transcriptomes Reveals Specific and Reproducible Immune-Related Signals.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017
NetNorM: Capturing cancer-relevant information in somatic exome mutation data with gene networks for cancer stratification and prognosis.
PLoS Comput. Biol., 2017

MaBoSS 2.0: an environment for stochastic Boolean modeling.
Bioinform., 2017

NaviCom: a web application to create interactive molecular network portraits using multi-level omics data.
Database J. Biol. Databases Curation, 2017

2016
Calculating Biological Module Enrichment or Depletion and Visualizing Data on Large-scale Molecular Maps with ACSNMineR and RNaviCell Packages.
R J., 2016

Piece-wise quadratic approximations of arbitrary error functions for fast and robust machine learning.
Neural Networks, 2016

Piece-wise quadratic lego set for constructing arbitrary error potentials and their fast optimization.
CoRR, 2016

Robust principal graphs for data approximation.
CoRR, 2016

2015
Mathematical Modelling of Molecular Pathways Enabling Tumour Cell Invasion and Migration.
PLoS Comput. Biol., 2015

NaviCell Web Service for network-based data visualization.
Nucleic Acids Res., 2015

DeDaL: Cytoscape 3 app for producing and morphing data-driven and structure-driven network layouts.
BMC Syst. Biol., 2015

Fast and user-friendly non-linear principal manifold learning by method of elastic maps.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

2014
ViDaExpert: user-friendly tool for nonlinear visualization and analysis of multidimensional vectorial data.
CoRR, 2014

2013
Synthetic Lethality between Gene Defects Affecting a Single Non-essential Molecular Pathway with Reversible Steps.
PLoS Comput. Biol., 2013

Blind source separation methods for deconvolution of complex signals in cancer biology
CoRR, 2013

Data complexity measured by principal graphs.
Comput. Math. Appl., 2013

Model composition through model reduction: a combined model of CD95 and NF-κ.
BMC Syst. Biol., 2013

NaviCell: a web-based environment for navigation, curation and maintenance of large molecular interaction maps.
BMC Syst. Biol., 2013

BiNoM 2.0, a Cytoscape plugin for accessing and analyzing pathways using standard systems biology formats.
BMC Syst. Biol., 2013

OCSANA: optimal combinations of interventions from network analysis.
Bioinform., 2013

Geometrical Complexity of Data Approximators.
Proceedings of the Advances in Computational Intelligence, 2013

2012
Identification of Shortened 3′ untranslated Regions from Expression Arrays.
J. Bioinform. Comput. Biol., 2012

2011
Control-free calling of copy number alterations in deep-sequencing data using GC-content normalization.
Bioinform., 2011

2010
Mathematical Modelling of Cell-Fate Decision in Response to Death Receptor Engagement.
PLoS Comput. Biol., 2010

Principal Manifolds and Graphs in Practice: from Molecular Biology to Dynamical Systems.
Int. J. Neural Syst., 2010

Nonlinear Quality of Life Index
CoRR, 2010

Data visualization in political and social sciences
CoRR, 2010

Dynamical modeling of microRNA action on the protein translation process.
BMC Syst. Biol., 2010

2009
Method for Relating Inter-patient Gene Copy Numbers Variations with Gene Expression via Gene Influence Networks.
Proceedings of the Workshops of the 5th IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI-2009), 2009

2008
Principal Graphs and Manifolds
CoRR, 2008

Robust simplifications of multiscale biochemical networks.
BMC Syst. Biol., 2008

BiNoM: a Cytoscape plugin for manipulating and analyzing biological networks.
Bioinform., 2008

2007
Classification of microarray data using gene networks.
BMC Bioinform., 2007

Topological grammars for data approximation.
Appl. Math. Lett., 2007

Branching Principal Components: Elastic Graphs, Topological Grammars and Metro Maps.
Proceedings of the International Joint Conference on Neural Networks, 2007

2005
Four basic symmetry types in the universal 7-cluster structure of microbial genomic sequences.
Silico Biol., 2005

Elastic Principal Graphs and Manifolds and their Practical Applications.
Computing, 2005

2003
Self-Organizing Approach for Automated Gene Identification.
Open Syst. Inf. Dyn., 2003

Seven clusters in genomic triplet distributions.
Silico Biol., 2003

Codon adaptation index as a measure of dominating codon bias.
Bioinform., 2003


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