Search Results - Piliszek, Radoslaw

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  1. 1
    Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival

    Integration of multiple types of genetic markers for neuroblastoma may contribute to improved prediction of the overall survival by Polewko-Klim, Aneta, Lesiński, Wojciech, Mnich, Krzysztof, Piliszek, Radosław, Rudnicki, Witold R

    Published in Biology direct
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  2. 2
    Computational Analysis Identifies Novel Biomarkers for High-Risk Bladder Cancer Patients

    Computational Analysis Identifies Novel Biomarkers for High-Risk Bladder Cancer Patients by Piliszek, Radosław, Brożyna, Anna A., Rudnicki, Witold R.

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  3. 3
    Embracing IaC Through the DevSecOps Philosophy: Concepts, Challenges, and a Reference Framework

    Embracing IaC Through the DevSecOps Philosophy: Concepts, Challenges, and a Reference Framework by Alonso, Juncal, Piliszek, Radoslaw, Cankar, Matija

    Published in IEEE software
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  4. 4
    MDFS: MultiDimensional Feature Selection in R

    MDFS: MultiDimensional Feature Selection in R by Piliszek, Radosław, Mnich, Krzysztof, Migacz, Szymon, Tabaszewski, Paweł, Sułecki, Andrzej, Polewko-Klim, Aneta, Rudnicki, Witold

    Published in The R journal
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  5. 5
    Multidimensional Feature Selection and High Performance ParalleX

    Multidimensional Feature Selection and High Performance ParalleX by Niedzielewski, Karol, Marchwiany, Maciej E, Piliszek, Radoslaw, Michalewicz, Marek, Rudnicki, Witold

    Published in SN computer science
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  6. 6
    Multidimensional Feature Selection and High Performance ParalleX: A tool for detection of informative variables for big data

    Multidimensional Feature Selection and High Performance ParalleX: A tool for detection of informative variables for big data by Niedzielewski, Karol, Marchwiany, Maciej E., Piliszek, Radoslaw, Michalewicz, Marek, Rudnicki, Witold

    Published in SN computer science
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  7. 7
    Predicting human olfactory perception from chemical features of odor molecules

    Predicting human olfactory perception from chemical features of odor molecules by Keller, Andreas, Gerkin, Richard C., Guan, Yuanfang, Dhurandhar, Amit, Turu, Gabor, Szalai, Bence, Mainland, Joel D., Ihara, Yusuke, Yu, Chung Wen, Wolfinger, Russ, Vens, Celine, Schietgat, Leander, De Grave, Kurt, Norel, Raquel, Stolovitzky, Gustavo, Cecchi, Guillermo A., Vosshall, Leslie B., Meyer, Pablo

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  8. 8
    MDFS - MultiDimensional Feature Selection

    MDFS - MultiDimensional Feature Selection by Piliszek, Radosław, Mnich, Krzysztof, Migacz, Szymon, Tabaszewski, Paweł, Sułecki, Andrzej, Polewko-Klim, Aneta, Rudnicki, Witold

    Published in arXiv.org
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