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2020 – today
- 2020
[i1]Joanna Henzel, Joanna Tobiasz, Michal Kozielski, Malgorzata Bach, Pawel Foszner, Aleksandra Gruca, Mateusz Kania, Justyna Mika, Anna Papiez
, Aleksandra Werner, Joanna Zyla, Jerzy Jaroszewicz, Joanna Polanska, Marek Sikora:
Classification supporting COVID-19 diagnostics based on patient survey data. CoRR abs/2011.12247 (2020)
2010 – 2019
- 2019
- [j2]Anna Papiez, Christophe Badie, Joanna Polanska:
Machine learning techniques combined with dose profiles indicate radiation response biomarkers. Int. J. Appl. Math. Comput. Sci. 29(1): 169-178 (2019) - [j1]Anna Papiez, Michal Marczyk, Joanna Polanska, Andrzej Polanski:
BatchI: Batch effect Identification in high-throughput screening data using a dynamic programming algorithm. Bioinform. 35(11): 1885-1892 (2019) - 2018
- [c4]Anna Papiez, Marcin Skrzypski, Amelia Szymanowska-Narloch, Ewa Jassem, Agnieszka Maciejewska, Ryszard Pawlowski, Rafal Dziadziuszko, Jacek Jassem, Witold Rzyman, Joanna Polanska:
Can an Integrative SNP Approach Substitute Standard Identification in Comprehensive Case/Control Analyses? PACBB 2018: 123-130 - 2016
- [c3]Wojciech Labaj, Anna Papiez, Joanna Polanska, Andrzej Polanski:
Deep Data Analysis of a Large Microarray Collection for Leukemia Biomarker Identification. PACBB 2016: 71-79 - 2015
- [c2]Anna Papiez, Sylwia Kabacik, Christophe Badie, Simon Bouffler, Joanna Polanska:
Statistical Integration of p-values for Enhancing Discovery of Radiotoxicity Gene Signatures. IWBBIO (1) 2015: 503-513 - 2014
- [c1]Anna Papiez, Paul Finnon, Christophe Badie, Simon Bouffler, Joanna Polanska:
Integrating Expression Data from Different Microarray Platforms in Search of Biomarkers of Radiosensitivity. IWBBIO 2014: 484-493
Coauthor Index
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