Projects funded by the NCN
Predicting microbiome changes over time and upon perturbation: applications of machine learning to microbiome research and therapeutic strategies
2019/35/D/NZ2/04353
Keywords:
microbiome metagenomics machine learning neural networks bioinformatics autoencoders statistical models
Descriptors:
- NZ2_007:
- NZ2_002:
- NZ2_010:
Panel:
NZ2 - Genetics, genomics: molecular genetics, genomics, proteomics, bioinformatics, systems biology, genetic epidemiology
Host institution :
Uniwersytet Jagielloński, Małopolskie Centrum Biotechnologii Uniwersytetu Jagiellońskiego
woj. małopolskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 5
Call: SONATA 15 - announced on 2019-09-16
Amount awarded: 1 154 740 PLN
Project start date (Y-m-d): 2020-07-06
Project end date (Y-m-d): 2024-07-05
Project duration:: 48 months (the same as in the proposal)
Project status: Project settled
Project description
Download the project description in a pdf file
Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.
Information in the final report
- Publication in academic press/journals (3)
- Deep embeddings to comprehend and visualize microbiome protein spaceAuthors:Krzysztof Odrzywolek, Zuzanna Karwowska, Jan Majta, Aleksander Byrski, Kaja Milanowska-Zabel, Tomasz KosciolekAcademic press:Scientific Reports (rok: 2022, tom: 12, strony: 10332), Wydawca: Springer NatureStatus:PublishedDOI:10.1038/s41598-022-14055-7 - link to the publication
- Determinants of the microbiome spatial variability in chronic rhinosinusitisAuthors:Joanna Szaleniec, Valentyn Bezshapkin, Agnieszka Krawczyk, Katarzyna Kopera, Barbara Zapała, Tomasz Gosiewski, Tomasz KosciolekAcademic press:Rhinology (rok: 2024, tom: 62, strony: 119-126), Wydawca: European Rhinologic SocietyStatus:PublishedDOI:10.4193/Rhin22.423 - link to the publication
- Deep embeddings to comprehend and visualize microbiome protein spaceAuthors:Krzysztof Odrzywolek, Zuzanna Karwowska, Jan Majta, Aleksander Byrski, Kaja Milanowska-Zabel, Tomasz KosciolekAcademic press:Scientific Reports (rok: 2022, tom: 12, strony: 10332), Wydawca: Springer NatureStatus:PublishedDOI:10.1038/s41598-022-14055-7 - link to the publication