Data- and expert-driven rule induction and filtering framework for functional interpretation and description of gene sets by Aleksandra Gruca, Marek Sikora

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Synthetic Genistein Glycosides Inhibiting EGFR Phosphorylation Enhance the Effect of Radiation in HCT 116 Colon Cancer Cells by Aleksandra Gruca, Zdzisław Krawczyk, Wiesław Szeja, Grzegorz Grynkiewicz, Aleksandra Rusin

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Common low complexity regions for SARS-CoV-2 and human proteomes as potential multidirectional risk factor in vaccine development by Aleksandra Gruca, Joanna Ziemska-Legiecka, Patryk Jarnot, Elzbieta Sarnowska, Tomasz J. Sarnowski, Marcin Grynberg

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Enhancement of COVID-19 symptom-based screening with quality-based classifier optimisation by Michał Kozielski, Joanna Henzel, Joanna Tobiasz, Aleksandra Gruca, Paweł Foszner, Joanna Zyla, Małgorzata Bach, Aleksandra Werner, Jerzy Jaroszewicz, Joanna Polańska, Marek Sikora

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Screening Support System Based on Patient Survey Data—Case Study on Classification of Initial, Locally Collected COVID-19 Data by Joanna Henzel, Joanna Tobiasz, Michał Kozielski, Małgorzata Bach, Paweł Foszner, Aleksandra Gruca, Mateusz Kania, Justyna Mika, Anna Papiez, Aleksandra Werner, Joanna Zyla, Jerzy Jaroszewicz, Joanna Polanska, Marek Sikora

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LCRAnnotationsDB: a database of low complexity regions functional and structural annotations by Joanna Ziemska-Legiecka, Patryk Jarnot, Sylwia Szymańska, Dagmara Błaszczyk, Alicja Staśczak, Hanna Langer-Macioł, Kinga Lucińska, Karolina Widzisz, Aleksandra Janas, Hanna Słowik, Wiktoria Śliwińska, Aleksandra Gruca, Marcin Grynberg

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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

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The need for standardisation in life science research - an approach to excellence and trust. [version 2; peer review: 3 approved] by Susanne Hollmann, Andreas Kremer, Špela Baebler, Christophe Trefois, Kristina Gruden, Witold R. Rudnicki, Weida Tong, Aleksandra Gruca, Erik Bongcam-Rudloff, Chris T. Evelo, Alina Nechyporenko, Marcus Frohme, David Šafránek, Babette Regierer, Domenica D'Elia

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Symptom-based early-stage differentiation between SARS-CoV-2 versus other respiratory tract infections—Upper Silesia pilot study by Justyna Mika, Joanna Tobiasz, Joanna Zyla, Anna Papiez, Małgorzata Bach, Aleksandra Werner, Michał Kozielski, Mateusz Kania, Aleksandra Gruca, Damian Piotrowski, Barbara Sobala-Szczygieł, Bożena Włostowska, Paweł Foszner, Marek Sikora, Joanna Polanska, Jerzy Jaroszewicz

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The need for standardisation in life science research - an approach to excellence and trust. [version 1; peer review: 2 approved] by Susanne Hollmann, Andreas Kremer, Špela Baebler, Christophe Trefois, Kristina Gruden, Witold R. Rudnicki, Weida Tong, Aleksandra Gruca, Erik Bongcam-Rudloff, Chris T. Evelo, Alina Nechyporenko, Marcus Frohme, David Šafránek, Babette Regierer, Domenica D'Elia

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Corrigendum: Ni2+-assisted hydrolysis may affect the human proteome; filaggrin degradation ex vivo as an example of possible consequences by Ewa Izabela Podobas, Ewa Izabela Podobas, Ewa Izabela Podobas, Danuta Gutowska-Owsiak, Danuta Gutowska-Owsiak, Sébastien Moretti, Jarosław Poznański, Mariusz Kulińczak, Marcin Grynberg, Aleksandra Gruca, Arkadiusz Bonna, Dawid Płonka, Tomasz Frączyk, Graham Ogg, Wojciech Bal

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Ni2+-Assisted Hydrolysis May Affect the Human Proteome; Filaggrin Degradation Ex Vivo as an Example of Possible Consequences by Ewa Izabela Podobas, Ewa Izabela Podobas, Ewa Izabela Podobas, Danuta Gutowska-Owsiak, Danuta Gutowska-Owsiak, Sébastien Moretti, Jarosław Poznański, Mariusz Kulińczak, Marcin Grynberg, Aleksandra Gruca, Arkadiusz Bonna, Dawid Płonka, Tomasz Frączyk, Graham Ogg, Wojciech Bal

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Applications of Machine Learning in Human Microbiome Studies: A Review on Feature Selection, Biomarker Identification, Disease Prediction and Treatment by Laura Judith Marcos-Zambrano, Kanita Karaduzovic-Hadziabdic, Tatjana Loncar Turukalo, Piotr Przymus, Vladimir Trajkovik, Oliver Aasmets, Oliver Aasmets, Magali Berland, Aleksandra Gruca, Jasminka Hasic, Karel Hron, Thomas Klammsteiner, Mikhail Kolev, Leo Lahti, Marta B. Lopes, Marta B. Lopes, Victor Moreno, Victor Moreno, Victor Moreno, Victor Moreno, Irina Naskinova, Elin Org, Inês Paciência, Georgios Papoutsoglou, Rajesh Shigdel, Blaz Stres, Baiba Vilne, Malik Yousef, Malik Yousef, Eftim Zdravevski, Ioannis Tsamardinos, Enrique Carrillo de Santa Pau, Marcus J. Claesson, Isabel Moreno-Indias, Isabel Moreno-Indias, Jaak Truu

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Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action by Domenica D’Elia, Jaak Truu, Leo Lahti, Magali Berland, Georgios Papoutsoglou, Georgios Papoutsoglou, Michelangelo Ceci, Aldert Zomer, Marta B. Lopes, Marta B. Lopes, Eliana Ibrahimi, Aleksandra Gruca, Alina Nechyporenko, Alina Nechyporenko, Marcus Frohme, Thomas Klammsteiner, Thomas Klammsteiner, Enrique Carrillo-de Santa Pau, Laura Judith Marcos-Zambrano, Karel Hron, Gianvito Pio, Andrea Simeon, Ramona Suharoschi, Isabel Moreno-Indias, Andriy Temko, Miroslava Nedyalkova, Elena-Simona Apostol, Ciprian-Octavian Truică, Rajesh Shigdel, Jasminka Hasić Telalović, Erik Bongcam-Rudloff, Piotr Przymus, Naida Babić Jordamović, Naida Babić Jordamović, Laurent Falquet, Sonia Tarazona, Alexia Sampri, Alexia Sampri, Gaetano Isola, David Pérez-Serrano, Vladimir Trajkovik, Lubos Klucar, Tatjana Loncar-Turukalo, Aki S. Havulinna, Aki S. Havulinna, Christian Jansen, Christian Jansen, Randi J. Bertelsen, Marcus Joakim Claesson

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