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Ewa Szczurek
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2020 – today
- 2023
- [i4]Paulina Szymczak, Ewa Szczurek:
Artificial intelligence-driven antimicrobial peptide discovery. CoRR abs/2308.10921 (2023) - [i3]Adam Izdebski, Ewelina Weglarz-Tomczak, Ewa Szczurek, Jakub M. Tomczak:
De Novo Drug Design with Joint Transformers. CoRR abs/2310.02066 (2023) - 2022
- [c5]Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Adam Izdebski, Eike Staub, Ewa Szczurek:
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction. MLCB 2022: 61-73 - [i2]Krzysztof Koras, Marcin Mozejko, Paulina Szymczak, Eike Staub, Ewa Szczurek:
A generative recommender system with GMM prior for cancer drug generation and sensitivity prediction. CoRR abs/2206.03555 (2022) - 2020
- [j12]Ewa Szczurek
, Tyll Krüger, Barbara Klink
A mathematical model of the metastatic bottleneck predicts patient outcome and response to cancer treatment. PLoS Comput. Biol. 16(10) (2020)
2010 – 2019
- 2019
- [j11]Jerzy Tiuryn, Ewa Szczurek
Learning signaling networks from combinatorial perturbations by exploiting siRNA off-target effects. Bioinform. 35(14): i605-i614 (2019) - [j10]Dariusz Matlak, Ewa Szczurek:
Correction: Epistasis in genomic and survival data of cancer patients. PLoS Comput. Biol. 15(2) (2019) - [i1]David Laehnemann
12 Grand Challenges in Single-Cell Data Science. PeerJ Prepr. 7: e27885 (2019) - 2017
- [j9]Dariusz Matlak, Ewa Szczurek
Epistasis in genomic and survival data of cancer patients. PLoS Comput. Biol. 13(7) (2017) - [c4]Dariusz Matlak, Ewa Szczurek:
Epistasis in Genomic and Survival Data of Cancer Patients. RECOMB 2017: 385-386 - 2016
- [j8]Simona Constantinescu, Ewa Szczurek
TiMEx: a waiting time model for mutually exclusive cancer alterations. Bioinform. 32(7): 968-975 (2016) - [j7]Ewa Szczurek
Linear effects models of signaling pathways from combinatorial perturbation data. Bioinform. 32(12): 297-305 (2016) - 2014
- [j6]Navodit Misra, Ewa Szczurek
Inferring the paths of somatic evolution in cancer. Bioinform. 30(17): 2456-2463 (2014) - [j5]Ewa Szczurek
Modeling Mutual Exclusivity of Cancer Mutations. PLoS Comput. Biol. 10(3) (2014) - [c3]Ewa Szczurek, Niko Beerenwinkel:
Modeling Mutual Exclusivity of Cancer Mutations. RECOMB 2014: 307-308 - 2011
- [b1]Ewa Szczurek:
Modeling signal transduction pathways and their transcriptional response. Free University of Berlin, 2011 - [j4]Ewa Szczurek
Deregulation upon DNA damage revealed by joint analysis of context-specific perturbation data. BMC Bioinform. 12: 249 (2011) - 2010
- [j3]Ewa Szczurek
Introducing Knowledge into Differential Expression Analysis. J. Comput. Biol. 17(8): 953-967 (2010)
2000 – 2009
- 2009
- [j2]Anna Gambin
Classification of peptide mass fingerprint data by novel no-regret boosting method. Comput. Biol. Medicine 39(5): 460-473 (2009) - [j1]Mikhail A. Roytberg
On Subset Seeds for Protein Alignment. IEEE ACM Trans. Comput. Biol. Bioinform. 6(3): 483-494 (2009) - 2008
- [c2]Mikhail A. Roytberg, Anna Gambin, Laurent Noé, Slawomir Lasota, Eugenia Furletova, Ewa Szczurek, Gregory Kucherov:
Efficient Seeding Techniques for Protein Similarity Search. BIRD 2008: 466-478 - 2007
- [c1]Anna Gambin, Ewa Szczurek:
No-Regret Boosting. ICANNGA (1) 2007: 422-431
Coauthor Index
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