Ewa Szczurek - researchr alias

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Viewing Publication 1 - 19 from 19

2022

A generative recommender system with GMM prior for cancer drug generation and sensitivity predictionKrzysztof Koras, Marcin Mozejko, Paulina Szymczak, Adam Izdebski, Eike Staub, Ewa Szczurek. mlcb 2022: 61-73 [doi]

2020

A mathematical model of the metastatic bottleneck predicts patient outcome and response to cancer treatmentEwa Szczurek, Tyll Krüger, Barbara Klink, Niko Beerenwinkel. ploscb, 16(10), 2020. [doi]

2019

12 Grand Challenges in Single-Cell Data ScienceDavid Laehnemann, Johannes Köster, Ewa Szczurek, Davis J. McCarthy, Stephanie C. Hicks, Mark D. Robinson, Catalina A. Vallejos, Niko Beerenwinkel, Kieran R. Campbell, Ahmed Mahfouz, Luca Pinello, Pavel Skums, Alexandros Stamatakis, Camille Stephan-Otto Attolini, Samuel Aparicio, Jasmijn A. Baaijens, Marleen Balvert, Buys de Barbanson, Antonio Cappuccio, Giacomo Corleone, Bas E. Dutilh, Maria Florescu, Victor Guryev, Rens Holmer, Katharina Jahn, Thamar Jessurun Lobo, Emma M. Keizer, Indu Khatri, Szymon M. Kielbasa, Jan O. Korbel, Alexey M. Kozlov, Tzu-Hao Kuo, Boudewijn P. F. Lelieveldt, Ion I. Mandoiu, John C. Marioni, Tobias Marschall, Felix Mölder, Amir Niknejad, Lukasz Raczkowski, Marcel J. T. Reinders, Jeroen de Ridder, Antoine-Emmanuel Saliba, Antonios Somarakis, Oliver Stegle, Fabian J. Theis, Huan Yang, Alex Zelikovsky, Alice C. McHardy, Benjamin J. Raphael, Sohrab P. Shah, Alexander Schönhuth. peerjpre, 7, 2019. [doi]

Correction: Epistasis in genomic and survival data of cancer patientsDariusz Matlak, Ewa Szczurek. ploscb, 15(2), 2019. [doi]

Learning signaling networks from combinatorial perturbations by exploiting siRNA off-target effectsJerzy Tiuryn, Ewa Szczurek. bioinformatics, 35(14), 2019. [doi]

2017

Epistasis in Genomic and Survival Data of Cancer PatientsDariusz Matlak, Ewa Szczurek. recomb 2017: 385-386 [doi]

Epistasis in genomic and survival data of cancer patientsDariusz Matlak, Ewa Szczurek. ploscb, 13(7), 2017. [doi]

2016

TiMEx: a waiting time model for mutually exclusive cancer alterationsSimona Constantinescu, Ewa Szczurek, Pejman Mohammadi, Jörg Rahnenführer, Niko Beerenwinkel. bioinformatics, 32(7):968-975, 2016. [doi]

Linear effects models of signaling pathways from combinatorial perturbation dataEwa Szczurek, Niko Beerenwinkel. bioinformatics, 32(12):297-305, 2016. [doi]

2014

Inferring the paths of somatic evolution in cancerNavodit Misra, Ewa Szczurek, Martin Vingron. bioinformatics, 30(17):2456-2463, 2014. [doi]

Modeling Mutual Exclusivity of Cancer MutationsEwa Szczurek, Niko Beerenwinkel. ploscb, 10(3), 2014. [doi]

Modeling Mutual Exclusivity of Cancer MutationsEwa Szczurek, Niko Beerenwinkel. recomb 2014: 307-308 [doi]

2011

Modeling signal transduction pathways and their transcriptional responseEwa Szczurek. PhD thesis, Free University of Berlin, 2011. [doi]

Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation dataEwa Szczurek, Florian Markowetz, Irit Gat-Viks, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron. bmcbi, 12:249, 2011. [doi]

2010

Introducing Knowledge into Differential Expression AnalysisEwa Szczurek, Przemyslaw Biecek, Jerzy Tiuryn, Martin Vingron. jcb, 17(8):953-967, 2010. [doi]

2009

Classification of peptide mass fingerprint data by novel no-regret boosting methodAnna Gambin, Ewa Szczurek, Janusz Dutkowski, Magda Bakun, Michal Dadlez. cbm, 39(5):460-473, 2009. [doi]

On Subset Seeds for Protein AlignmentMikhail A. Roytberg, Anna Gambin, Laurent NoÃ©, Slawomir Lasota, Eugenia Furletova, Ewa Szczurek, Gregory Kucherov. tcbb, 6(3):483-494, 2009. [doi]

2008

Efficient Seeding Techniques for Protein Similarity SearchMikhail A. Roytberg, Anna Gambin, Laurent Noé, Slawomir Lasota, Eugenia Furletova, Ewa Szczurek, Gregory Kucherov. bird 2008: 466-478 [doi]

2007

No-Regret BoostingAnna Gambin, Ewa Szczurek. icannga 2007: 422-431 [doi]

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