Výsledky vyhledávání - "Krzysztof Koras"

Akademický článek

Synthetic lethality prediction in DNA damage repair, chromatin remodeling and the cell cycle using multi-omics data from cell lines and patients.

Autor: Magda Markowska, Magdalena A. Budzinska, Anna Coenen-Stass, Senbai Kang, Ewa Kizling, Krzysztof Kolmus, Krzysztof Koras, Eike Staub, Ewa Szczurek

Publikováno v: Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)

Abstract 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

Externí odkaz: https://doaj.org/article/ca1dad2c26964888ab597e9bf0ca4423

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Akademický článek

Interpretable deep recommender system model for prediction of kinase inhibitor efficacy across cancer cell lines

Autor: Krzysztof Koras, Ewa Kizling, Dilafruz Juraeva, Eike Staub, Ewa Szczurek

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)

Abstract Computational models for drug sensitivity prediction have the potential to significantly improve personalized cancer medicine. Drug sensitivity assays, combined with profiling of cancer cell lines and drugs become increasingly available for

Externí odkaz: https://doaj.org/article/5ca6b6ee38d84c60b90d71aa1aaab0aa

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SLIDE-VIP: a comprehensive, cell line- and patient-based framework for synthetic lethality prediction in DNA damage repair, chromatin remodeling and cell cycle

Autor: Magda Markowska, Magdalena A Budzinska, Anna Coenen-Stass, Senbai Kang, Ewa Kizling, Krzysztof Kolmus, Krzysztof Koras, Eike Staub, Ewa Szczurek

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 confoundi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1e346bbd106d705d346f8105bf446944
https://doi.org/10.1101/2022.07.07.499118

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Feature selection strategies for drug sensitivity prediction

Autor: Eike Staub, Krzysztof Koras, Julian Kreis, Dilafruz Juraeva, Ewa Szczurek, Johanna Mazur

Publikováno v: Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports

Drug sensitivity prediction constitutes one of the main challenges in personalized medicine. The major difficulty of this problem stems from the fact that the sensitivity of cancer cells to treatment depends on an unknown subset of a large number of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::afeec09962db0c519cac1f0886efff49
http://link.springer.com/article/10.1038/s41598-020-65927-9

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Interpretable deep recommender system model for prediction of kinase inhibitor efficacy across cancer cell lines

Autor: Ewa Kizling, Krzysztof Koras, Ewa Szczurek, Dilafruz Juraeva, Eike Staub

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Scientific Reports

Computational models for drug sensitivity prediction have the potential to revolutionise personalized cancer medicine. Drug sensitivity assays, as well as profiling of cancer cell lines and drugs becomes increasingly available for training such model

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8eacc834f8b5940ca640878c1dcc4448
https://doi.org/10.1101/2021.01.26.428272

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