A novel probabilistic model for cell type identification in spatial transcriptomics and single-cell RNA sequencing data
2021/41/N/ST6/03619
Keywords
Descriptors
- ST6_011: Uczenie maszynowe, statystyczne przetwarzanie danych i zastosowania w przetwarzaniu sygnałów (np. mowy, obrazów, filmów)
- ST6_013: Bioinformatyka, bioobliczenia, obliczenia DNA i molekularne
- ST1_017: Matematyka stosowana
Panel
ST6 – Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution
Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki
Voivodeship: mazowieckie
Principal investigator (from the host institution)
Number of co-investigators in the project: 2
Call
PRELUDIUM 20 – announced on 2021-03-15
- Amount awarded
- 67 344 PLN
- Project start date
- 2022-01-12
- Project end date
- 2024-01-11
- Project duration
- 24 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 (1)
-
Integrative Spatial and Genomic Analysis of Tumor Heterogeneity with Tumoroscope
- Authors:
- Shadi Shafighi, Agnieszka Geras, Barbara Jurzysta, Alireza Sahaf Naeini, Igor Filipiuk, Alicja Rączkowska, Hosein Toosi, Łukasz Koperski, Kim Thrane, Camilla Engblom, Jeff E Mold, Xinsong Chen, Johan Hartman, Dominika Nowis, Alessandra Carbone, Jens Lagergren, Ewa Szczurek
- Status:
- Accepted for publication