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Alina Nechyporenko

Showing results (1-10 of 7) with videos related to

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BMC Bioinformatics|February 12, 2022
Examination of blood samples using deep learning and mobile microscopyJuliane Pfeil, Alina Nechyporenko, Marcus Frohme, et al.
Plos Computational Biology|September 4, 2020
Ten simple rules on how to write a standard operating procedureSusanne Hollmann, Marcus Frohme, Christoph Endrullat, et al.
Sensors (Basel, Switzerland)|September 23, 2022
Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV DataDmytro Chumachenko, Mykola Butkevych, Daniel Lode, et al.
Frontiers in Microbiology|February 6, 2025
Deep learning in microbiome analysis: a comprehensive review of neural network modelsPiotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, et al.
F1000Research|May 27, 2021
The need for standardisation in life science research - an approach to excellence and trustSusanne Hollmann, Andreas Kremer, Špela Baebler, et al.
Frontiers in Microbiology|October 9, 2023
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST actionDomenica D'Elia, Jaak Truu, Leo Lahti, et al.
Frontiers in Microbiology|December 11, 2023
A toolbox of machine learning software to support microbiome analysisLaura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakir-Gungor, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
BMC Bioinformatics|February 12, 2022
Examination of blood samples using deep learning and mobile microscopyJuliane Pfeil, Alina Nechyporenko, Marcus Frohme, et al.
Plos Computational Biology|September 4, 2020
Ten simple rules on how to write a standard operating procedureSusanne Hollmann, Marcus Frohme, Christoph Endrullat, et al.
Sensors (Basel, Switzerland)|September 23, 2022
Machine Learning Methods in Predicting Patients with Suspected Myocardial Infarction Based on Short-Time HRV DataDmytro Chumachenko, Mykola Butkevych, Daniel Lode, et al.
Frontiers in Microbiology|February 6, 2025
Deep learning in microbiome analysis: a comprehensive review of neural network modelsPiotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, et al.
F1000Research|May 27, 2021
The need for standardisation in life science research - an approach to excellence and trustSusanne Hollmann, Andreas Kremer, Špela Baebler, et al.
Frontiers in Microbiology|October 9, 2023
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST actionDomenica D'Elia, Jaak Truu, Leo Lahti, et al.
Frontiers in Microbiology|December 11, 2023
A toolbox of machine learning software to support microbiome analysisLaura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakir-Gungor, et al.
Pageof 1