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Georgios Papoutsoglou

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Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 27, 2020
Learning Pathway Dynamics from Single-Cell Proteomic Data: A Comparative StudyKleio-Maria Verrou, Ioannis Tsamardinos, Georgios Papoutsoglou
Scientific Reports|October 19, 2022
A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severityScott Bowler, Georgios Papoutsoglou, Aristides Karanikas, et al.
Scientific Reports|July 24, 2021
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasetsGeorgios Papoutsoglou, Makrina Karaglani, Vincenzo Lagani, et al.
Non-Coding RNA Research|September 11, 2025
AutoML identification of microRNA biomarkers in high-risk pediatric acute lymphoblastic leukemiaIoannis Kyriakidis, Zacharias Papadovasilakis, Georgios Papoutsoglou, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|November 7, 2019
Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of RandomizationGeorgios Papoutsoglou, Vincenzo Lagani, Angelika Schmidt, et al.
Nucleic Acids Research|May 20, 2017
SCENERY: a web application for (causal) network reconstruction from cytometry dataGeorgios Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, et al.
NPJ Precision Oncology|June 17, 2022
Just Add Data: automated predictive modeling for knowledge discovery and feature selectionIoannis Tsamardinos, Paulos Charonyktakis, Georgios Papoutsoglou, et al.
Frontiers in Microbiology|October 9, 2023
Machine learning approaches in microbiome research: challenges and best practicesGeorgios Papoutsoglou, Sonia Tarazona, Marta B Lopes, et al.
Plos Biology|April 13, 2019
Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiationIsabel Ferreirós-Vidal, Thomas Carroll, Tianyi Zhang, et al.
Frontiers in Microbiology|March 19, 2021
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and TreatmentLaura Judith Marcos-Zambrano, Kanita Karaduzovic-Hadziabdic, Tatjana Loncar Turukalo, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|February 27, 2020
Learning Pathway Dynamics from Single-Cell Proteomic Data: A Comparative StudyKleio-Maria Verrou, Ioannis Tsamardinos, Georgios Papoutsoglou
Scientific Reports|October 19, 2022
A machine learning approach utilizing DNA methylation as an accurate classifier of COVID-19 disease severityScott Bowler, Georgios Papoutsoglou, Aristides Karanikas, et al.
Scientific Reports|July 24, 2021
Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasetsGeorgios Papoutsoglou, Makrina Karaglani, Vincenzo Lagani, et al.
Non-Coding RNA Research|September 11, 2025
AutoML identification of microRNA biomarkers in high-risk pediatric acute lymphoblastic leukemiaIoannis Kyriakidis, Zacharias Papadovasilakis, Georgios Papoutsoglou, et al.
Cytometry. Part a : the Journal of the International Society for Analytical Cytology|November 7, 2019
Challenges in the Multivariate Analysis of Mass Cytometry Data: The Effect of RandomizationGeorgios Papoutsoglou, Vincenzo Lagani, Angelika Schmidt, et al.
Nucleic Acids Research|May 20, 2017
SCENERY: a web application for (causal) network reconstruction from cytometry dataGeorgios Papoutsoglou, Giorgos Athineou, Vincenzo Lagani, et al.
NPJ Precision Oncology|June 17, 2022
Just Add Data: automated predictive modeling for knowledge discovery and feature selectionIoannis Tsamardinos, Paulos Charonyktakis, Georgios Papoutsoglou, et al.
Frontiers in Microbiology|October 9, 2023
Machine learning approaches in microbiome research: challenges and best practicesGeorgios Papoutsoglou, Sonia Tarazona, Marta B Lopes, et al.
Plos Biology|April 13, 2019
Feedforward regulation of Myc coordinates lineage-specific with housekeeping gene expression during B cell progenitor cell differentiationIsabel Ferreirós-Vidal, Thomas Carroll, Tianyi Zhang, et al.
Frontiers in Microbiology|March 19, 2021
Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and TreatmentLaura Judith Marcos-Zambrano, Kanita Karaduzovic-Hadziabdic, Tatjana Loncar Turukalo, et al.
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