Cargando…
Synthetic lethality prediction in DNA damage repair, chromatin remodeling and the cell cycle using multi-omics data from cell lines and patients.
Discovering synthetic lethal (SL) gene partners of cancer genes is an important step in developing cancer therapies. However, identification of SL interactions is challenging, due to a large number of possible gene pairs, inherent noise and confounding factors in the observed signal. To discover rob...
Autores principales: | Markowska, Magda, Budzinska, Magdalena A., Coenen-Stass, Anna, Kang, Senbai, Kizling, Ewa, Kolmus, Krzysztof, Koras, Krzysztof, Staub, Eike, Szczurek, Ewa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10148866/ https://www.ncbi.nlm.nih.gov/pubmed/37120674 http://dx.doi.org/10.1038/s41598-023-34161-4 |
Ejemplares similares
-
Interpretable deep recommender system model for prediction of kinase inhibitor efficacy across cancer cell lines
por: Koras, Krzysztof, et al.
Publicado: (2021) -
Feature selection strategies for drug sensitivity prediction
por: Koras, Krzysztof, et al.
Publicado: (2020) -
CONET: copy number event tree model of evolutionary tumor history for single-cell data
por: Markowska, Magda, et al.
Publicado: (2022) -
SIEVE: joint inference of single-nucleotide variants and cell phylogeny from single-cell DNA sequencing data
por: Kang, Senbai, et al.
Publicado: (2022) -
Synthetic lethality between VPS4A and VPS4B triggers an inflammatory response in colorectal cancer
por: Szymańska, Ewelina, et al.
Publicado: (2020)