E-LIB Suche - Ergebnisse für: Stefan Pushkov - Sprache DE

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1

Precious1GPT: multimodal transformer-based transfer learnin..:

Urban, Anatoly ; Sidorenko, Denis ; Zagirova, Diana...
Aging. , 2023

Link: https://doi.org/10.18632..

2

Biomedical generative pre-trained based transformer languag..:

Zagirova, Diana ; Pushkov, Stefan ; Leung, Geoffrey Ho Duen...
Aging. 15 (2023) 18 - p. 9293-9309 , 2023

Link: https://doi.org/10.18632..

3

COVIDomic: A multi-modal cloud-based platform for identific..:

Naumov, Vladimir ; Putin, Evgeny ; Pushkov, Stefan...
PLOS Computational Biology. 17 (2021) 7 - p. e1009183 , 2021

Link: https://doi.org/10.1371/..

4

COVIDomic: A multi-modal cloud-based platform for identific..:

Vladimir Naumov ; Evgeny Putin ; Stefan Pushkov...
https://doi.org/10.1371/journal.pcbi.1009183. , 2021

Link: https://doi.org/10.1371/..

5

Technical description of the platform capabilities and thei..:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/journal_contribution/Technical_description_of_the_platform_capabilities_and_their_implementation_/14983297. , 2021

Link: https://doi.org/10.1371/..

6

Results from the DT model trained on the biochemistry data:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/Results_from_the_DT_model_trained_on_the_biochemistry_data_/14983318. , 2021

Link: https://doi.org/10.1371/..

7

Feature importance analysis using PFI method:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/Feature_importance_analysis_using_PFI_method_/14983327. , 2021

Link: https://doi.org/10.1371/..

8

Overview of selected functionalities offered by the platfor:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/Overview_of_selected_functionalities_offered_by_the_platform_/14983309. , 2021

Link: https://doi.org/10.1371/..

9

Overview of the COVIDomic platform:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/Overview_of_the_COVIDomic_platform_/14983300. , 2021

Link: https://doi.org/10.1371/..

10

Top 12 overlapping Genomic features and amino-acid changes ..:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/dataset/Top_12_overlapping_Genomic_features_and_amino-acid_changes_obtained_with_the_PFI_and_SHAP_methods_/14983345. , 2021

Link: https://doi.org/10.1371/..

11

LR coefficients obtained from the biochemistry data:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/LR_coefficients_obtained_from_the_biochemistry_data_/14983315. , 2021

Link: https://doi.org/10.1371/..

12

Feature importance analysis using SHAP method:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/Feature_importance_analysis_using_SHAP_method_/14983324. , 2021

Link: https://doi.org/10.1371/..

13

Schematic representation of the workflow of the platform wi..:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/Schematic_representation_of_the_workflow_of_the_platform_with_its_four_components_/14983294. , 2021

Link: https://doi.org/10.1371/..

14

Description of approaches for building models on different ..:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/Description_of_approaches_for_building_models_on_different_data_types_/14983333. , 2021

Link: https://doi.org/10.1371/..

15

Overview of selected functionalities offered by the platfor..:

Vladimir Naumov (8582277) ; Evgeny Putin (2575033) ; Stefan Pushkov (11133892)...
https://figshare.com/articles/figure/Overview_of_selected_functionalities_offered_by_the_platform_and_their_associated_displays_/14983306. , 2021

Link: https://doi.org/10.1371/..

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