Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Soufiane Mourragui"'
Autor:
Marleen Balvert, Johnathan Cooper-Knock, Julian Stamp, Ross P. Byrne, Soufiane Mourragui, Juami van Gils, Stefania Benonisdottir, Johannes Schlüter, Kevin Kenna, Sanne Abeln, Alfredo Iacoangeli, Joséphine T. Daub, Brian L. Browning, Gizem Taş, Jiajing Hu, Yan Wang, Elham Alhathli, Calum Harvey, Luna Pianesi, Sara C. Schulte, Jorge González-Domínguez, Erik Garrisson, Lorentz workshop on epistasis, Michael P. Snyder, Alexander Schönhuth, Letitia M. F. Sng, Natalie A. Twine
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-17 (2024)
Abstract Epistasis refers to changes in the effect on phenotype of a unit of genetic information, such as a single nucleotide polymorphism or a gene, dependent on the context of other genetic units. Such interactions are both biologically plausible a
Externí odkaz:
https://doaj.org/article/b474a576126e4691988acae1b1be2c19
Autor:
Matheus Henrique Dias, Anoek Friskes, Siying Wang, Joao M. Fernandes Neto, Frank van Gemert, Soufiane Mourragui, Hendrik J. Kuiken, Sara Mainardi, Daniel Alvarez-Villanueva, Cor Lieftink, Ben Morris, Anna Dekker, Emma van Dijk, Chrysa Papagianni, Marcelo S. da Silva, Robin Jansen, Antonio Mulero-Sánchez, Elke Malzer, August Vidal, Cristina Santos, Ramón Salazar, Rosangela A. M. Wailemann, Thompson E. P. Torres, Giulia De Conti, Jonne A. Raaijmakers, Petur Snaebjornsson, Shengxian Yuan, Wenxin Qin, John S. Kovach, Hugo A. Armelin, Hein te Riele, Alexander van Oudenaarden, Haojie Jin, Roderick L. Beijersbergen, Alberto Villanueva, Rene H. Medema, Rene Bernards
Cancer homeostasis depends on a balance between activated oncogenic pathways driving tumorigenesis and engagement of stress-response programs that counteract the inherent toxicity of such aberrant signaling. While inhibition of oncogenic signaling pa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a1e3875a49631c0a488ddbe547c772b
https://doi.org/10.1101/2023.02.06.527335
https://doi.org/10.1101/2023.02.06.527335
Autor:
Marco Loog, Mark A. van de Wiel, Marcel J. T. Reinders, Lodewyk F. A. Wessels, Soufiane Mourragui
Publikováno v:
Bioinformatics, 35(14):btz372, i510-i519. Oxford University Press
Mourragui, S, Loog, M, Van De Wiel, M A, Reinders, M J T & Wessels, L F A 2019, ' PRECISE : A domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors ', Bioinformatics, vol. 35, no. 14, btz372, pp. i510-i519 . https://doi.org/10.1093/bioinformatics/btz372
Bioinformatics
Bioinformatics, 35(14)
Mourragui, S, Loog, M, Van De Wiel, M A, Reinders, M J T & Wessels, L F A 2019, ' PRECISE : A domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors ', Bioinformatics, vol. 35, no. 14, btz372, pp. i510-i519 . https://doi.org/10.1093/bioinformatics/btz372
Bioinformatics
Bioinformatics, 35(14)
Motivation Cell lines and patient-derived xenografts (PDXs) have been used extensively to understand the molecular underpinnings of cancer. While core biological processes are typically conserved, these models also show important differences compared
Autor:
Kat Moore, Lodewyk F. A. Wessels, Mark A. van de Wiel, Daniel J. Vis, Marcel J. T. Reinders, Anna G. Manjón, Marco Loog, Soufiane Mourragui
Pre-clinical models have been the workhorse of cancer research for decades. While powerful, these models do not fully recapitulate the complexity of human tumors. Consequently, translating biomarkers of drug response from pre-clinical models to human
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c11a59edd4914dcbf457da1ae47b640d
https://doi.org/10.1101/2020.06.29.177139
https://doi.org/10.1101/2020.06.29.177139
MotivationCell lines and patient-derived xenografts (PDX) have been used extensively to understand the molecular underpinnings of cancer. While core biological processes are typically conserved, these models also show important differences compared t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fec0133d98443fe4425837198cc623f
Publikováno v:
Nucleic Acids Research, 48(18). OXFORD UNIV PRESS
Nucleic Acids Research
Nucleic acids research, 48(18)
Nucleic Acids Research
Nucleic acids research, 48(18)
Single-cell technologies are emerging fast due to their ability to unravel the heterogeneity of biological systems. While scRNA-seq is a powerful tool that measures whole-transcriptome expression of single cells, it lacks their spatial localization.