Olga Permiakova
Olga Permiakova
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Systematic quantitative analysis of H2A and H2B variants by targeted proteomics
S El Kennani, A Adrait, O Permiakova, AM Hesse, C Ialy-Radio, M Ferro, ...
Epigenetics & Chromatin 11, 1-18, 2018
Distinguishing between spectral clustering and cluster analysis of mass spectra
H Borges, R Guibert, O Permiakova, T Burger
Journal of proteome research 18 (1), 571-573, 2018
CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
O Permiakova, R Guibert, A Kraut, T Fortin, AM Hesse, T Burger
BMC bioinformatics 22 (1), 1-30, 2021
Sketched Stochastic Dictionary Learning for large‐scale data and application to high‐throughput mass spectrometry
O Permiakova, T Burger
Statistical Analysis and Data Mining: The ASA Data Science Journal 15 (1), 43-56, 2022
Using unlabeled data to discover bivariate causality with deep restricted Boltzmann machines
N Sokolovska, O Permiakova, SK Forslund, JD Zucker
IEEE/ACM transactions on computational biology and bioinformatics 17 (1 …, 2018
A semi-supervised approach to discover bivariate causality in large biological data
N Sokolovska, O Permiakova, SK Forslund, JD Zucker
Machine Learning and Data Mining in Pattern Recognition: 14th International …, 2018
Scalable machine learning approaches for chromatographic pattern extraction in large-scale mass spectrometry data
O Permiakova
Université Grenoble Alpes [2020-....], 2021
Package ‘chickn’
O Permiakova, R Guibert, T Burger
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