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ORCIDPetr V. Nazarov
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2020 – today
- 2024
[j7]Vladimir Despotovic
, Abir Elbéji, Kevser Fünfgeld, Mégane Pizzimenti, Hanin Ayadi, Petr V. Nazarov, Guy Fagherazzi:
Digital voice-based biomarker for monitoring respiratory quality of life: findings from the colive voice study. Biomed. Signal Process. Control. 96: 106555 (2024)- [j6]Giulia D'Uonnolo, Damla Isci, Bakhtiyor Nosirov, Amandine Kuppens, May Wantz, Petr V. Nazarov, Anna Golebiewska, Bernard Rogister, Andy Chevigné, Virginie Neirinckx, Martyna Szpakowska:
Patient-based multilevel transcriptome exploration highlights relevant chemokines and chemokine receptor axes in glioblastoma. Comput. Biol. Medicine 182: 109197 (2024) - 2023
- [i1]Vladimir Despotovic, Sang-Yoon Kim, Ann-Christin Hau, Aliaksandra Kakoichankava, Gilbert Georg Klamminger, Felix Bruno Kleine Borgmann, Katrin B. M. Frauenknecht, Michel Mittelbronn, Petr V. Nazarov:
Glioma subtype classification from histopathological images using in-domain and out-of-domain transfer learning: An experimental study. CoRR abs/2309.17223 (2023) - 2022
- [j5]Nicolas Captier, Jane Merlevede, Askhat Molkenov, Ainur Seisenova, Altynbek Zhubanchaliyev, Petr V. Nazarov, Emmanuel Barillot, Ulykbek Kairov, Andrei Yu. Zinovyev:
BIODICA: a computational environment for Independent Component Analysis of omics data. Bioinform. 38(10): 2963-2964 (2022) - [j4]Ramón Díaz-Uriarte, Elisa Gómez de Lope, Rosalba Giugno, Holger Fröhlich, Petr V. Nazarov, Isabel A. Nepomuceno-Chamorro, Armin Rauschenberger, Enrico Glaab:
Ten quick tips for biomarker discovery and validation analyses using machine learning. PLoS Comput. Biol. 18(8) (2022) - [j3]Vasily V. Grinev, Mikalai M. Yatskou, Victor V. Skakun, Maryna K. Chepeleva, Petr V. Nazarov:
ORFhunteR: An accurate approach to the automatic identification and annotation of open reading frames in human mRNA molecules. Softw. Impacts 12: 100268 (2022)
2010 – 2019
- 2011
- [j2]Isabel A. Nepomuceno-Chamorro, Francisco Azuaje, Yvan Devaux, Petr V. Nazarov, Arnaud Muller, Jesús S. Aguilar-Ruiz, Daniel R. Wagner:
Prognostic transcriptional association networks: a new supervised approach based on regression trees. Bioinform. 27(2): 252-258 (2011)
2000 – 2009
- 2004
- [j1]Petr V. Nazarov, Vladimir V. Apanasovich, Vladimir M. Lutkovski, Mikalai M. Yatskou, Rob B. M. Koehorst, Marcus A. Hemminga:
Artificial Neural Network Modification of Simulation-Based Fitting: Application to a Protein-Lipid System. J. Chem. Inf. Model. 44(2): 568-574 (2004)
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