Search Results - Rączkowska, Alicja

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  1. 1
    Eleven grand challenges in single-cell data science

    Eleven grand challenges in single-cell data science by Lähnemann, David, Köster, Johannes, Szczurek, Ewa, McCarthy, Davis J, Hicks, Stephanie C, Robinson, Mark D, Vallejos, Catalina A, Campbell, Kieran R, Beerenwinkel, Niko, Mahfouz, Ahmed, Pinello, Luca, Skums, Pavel, Stamatakis, Alexandros, Attolini, Camille Stephan-Otto, Aparicio, Samuel, Baaijens, Jasmijn, Balvert, Marleen, Barbanson, Buys de, Cappuccio, Antonio, Corleone, Giacomo, Dutilh, Bas E, Florescu, Maria, Guryev, Victor, Holmer, Rens, Jahn, Katharina, Lobo, Thamar Jessurun, Keizer, Emma M, Khatri, Indu, Kielbasa, Szymon M, Korbel, Jan O, Kozlov, Alexey M, Kuo, Tzu-Hao, Lelieveldt, Boudewijn P F, Mandoiu, Ion I, Marioni, John C, Marschall, Tobias, Mölder, Felix, Niknejad, Amir, Rączkowska, Alicja, Reinders, Marcel, Ridder, Jeroen de, Saliba, Antoine-Emmanuel, Somarakis, Antonios, Stegle, Oliver, Theis, Fabian J, Yang, Huan, Zelikovsky, Alex, McHardy, Alice C, Raphael, Benjamin J, Shah, Sohrab P, Schönhuth, Alexander

    Published in Genome Biology
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  2. 2
    Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data

    Celloscope: a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data by Geras, Agnieszka, Darvish Shafighi, Shadi, Domżał, Kacper, Filipiuk, Igor, Rączkowski, Łukasz, Szymczak, Paulina, Toosi, Hosein, Kaczmarek, Leszek, Koperski, Łukasz, Lagergren, Jens, Nowis, Dominika, Szczurek, Ewa

    Published in Genome Biology
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  3. 3
    Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer

    Deep learning-based tumor microenvironment segmentation is predictive of tumor mutations and patient survival in non-small-cell lung cancer by RÄczkowski, Åukasz, PaÅnik, Iwona, KukieÅka, MichaÅ, NicoÅ, Marcin, Budzinska, Magdalena A, Kucharczyk, Tomasz, SzumiÅo, Justyna, Krawczyk, PaweÅ, Crosetto, Nicola, Szczurek, Ewa

    Published in BMC cancer
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  4. 4
    ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

    ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning by Rączkowska, Alicja, Możejko, Marcin, Zambonelli, Joanna, Szczurek, Ewa

    Published in Scientific reports
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  5. 5
    Integrative spatial and genomic analysis of tumor heterogeneity with Tumoroscope

    Integrative spatial and genomic analysis of tumor heterogeneity with Tumoroscope by Shafighi, Shadi, Geras, Agnieszka, Jurzysta, Barbara, Sahaf Naeini, Alireza, Filipiuk, Igor, Ra̧czkowska, Alicja, Toosi, Hosein, Koperski, Łukasz, Thrane, Kim, Engblom, Camilla, Mold, Jeff E., Chen, Xinsong, Hartman, Johan, Nowis, Dominika, Carbone, Alessandra, Lagergren, Jens, Szczurek, Ewa

    Published in Nature communications
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  6. 6
    AlleNoise: large-scale text classification benchmark dataset with real-world label noise

    AlleNoise: large-scale text classification benchmark dataset with real-world label noise by Rączkowska, Alicja, Osowska-Kurczab, Aleksandra, Szczerbiński, Jacek, Jasinska-Kobus, Kalina, Nazarko, Klaudia

    Published in arXiv.org
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  7. 7
    Effects of Anthocyanins on Components of Metabolic Syndrome-A Review

    Effects of Anthocyanins on Components of Metabolic Syndrome-A Review by Godyla-Jabłoński, Michaela, Raczkowska, Ewa, Jodkowska, Anna, Kucharska, Alicja Zofia, Sozański, Tomasz, Bronkowska, Monika

    Published in Nutrients
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