Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Krzysztof Koras"'
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
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
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
https://doi.org/10.1101/2022.07.07.499118
Publikováno v:
Scientific Reports, Vol 10, Iss 1, Pp 1-12 (2020)
Scientific Reports
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
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-16 (2021)
Scientific Reports
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
https://doi.org/10.1101/2021.01.26.428272
Autor:
Pato, Matilde1 (AUTHOR) matilde.pato@isel.pt, Barros, Márcia2 (AUTHOR) marciabarros@edu.ulisboa.pt, Couto, Francisco M.2 (AUTHOR)
Publikováno v:
ACM Computing Surveys. Jun2024, Vol. 56 Issue 6, p1-32. 32p.
Autor:
Markowska, Magda1,2 (AUTHOR), Budzinska, Magdalena A.1,3 (AUTHOR), Coenen-Stass, Anna4 (AUTHOR), Kang, Senbai1 (AUTHOR), Kizling, Ewa1 (AUTHOR), Kolmus, Krzysztof3 (AUTHOR), Koras, Krzysztof1 (AUTHOR), Staub, Eike4 (AUTHOR), Szczurek, Ewa1 (AUTHOR) szczurek@mimuw.edu.pl
Publikováno v:
Scientific Reports. 4/29/2023, Vol. 13 Issue 1, p1-16. 16p.
Autor:
Koras, Krzysztof1, Juraeva, Dilafruz2, Kreis, Julian2, Mazur, Johanna2, Staub, Eike2, Szczurek, Ewa1 szczurek@mimuw.edu.pl
Publikováno v:
Scientific Reports. 6/10/2020, Vol. 10 Issue 1, p1-12. 12p.
Autor:
Russell Schwartz
This book constitutes the proceedings of the 24th Annual Conference on Research in Computational Molecular Biology, RECOMB 2020, held in Padua, Italy, in May 2020. The 13 regular and 24 short papers presented were carefully reviewed and selected fro