GTDB-Tk v2: memory friendly classification with the genome taxonomy database von Chaumeil, Pierre-Alain, Mussig, Aaron J, Hugenholtz, Philip, Parks, Donovan H

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Early prediction of circulatory failure in the intensive care unit using machine learning von Hyland, Stephanie L., Faltys, Martin, Hüser, Matthias, Lyu, Xinrui, Gumbsch, Thomas, Esteban, Cristóbal, Bock, Christian, Horn, Max, Moor, Michael, Rieck, Bastian, Zimmermann, Marc, Bodenham, Dean, Borgwardt, Karsten, Rätsch, Gunnar, Merz, Tobias M.

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BERN2: an advanced neural biomedical named entity recognition and normalization tool von Sung, Mujeen, Jeong, Minbyul, Choi, Yonghwa, Kim, Donghyeon, Lee, Jinhyuk, Kang, Jaewoo

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The Evaluation of Tools Used to Predict the Impact of Missense Variants Is Hindered by Two Types of Circularity von Grimm, Dominik G., Azencott, Chloé-Agathe, Aicheler, Fabian, Gieraths, Udo, MacArthur, Daniel G., Samocha, Kaitlin E., Cooper, David N., Stenson, Peter D., Daly, Mark J., Smoller, Jordan W., Duncan, Laramie E., Borgwardt, Karsten M.

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Direct antimicrobial resistance prediction from clinical MALDI-TOF mass spectra using machine learning von Weis, Caroline, Cuénod, Aline, Rieck, Bastian, Dubuis, Olivier, Graf, Susanne, Lang, Claudia, Oberle, Michael, Brackmann, Maximilian, Søgaard, Kirstine K., Osthoff, Michael, Borgwardt, Karsten, Egli, Adrian

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Large-scale DNA-based phenotypic recording and deep learning enable highly accurate sequence-function mapping von Höllerer, Simon, Papaxanthos, Laetitia, Gumpinger, Anja Cathrin, Fischer, Katrin, Beisel, Christian, Borgwardt, Karsten, Benenson, Yaakov, Jeschek, Markus

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IIFDTI: predicting drug–target interactions through interactive and independent features based on attention mechanism von Cheng, Zhongjian, Zhao, Qichang, Li, Yaohang, Wang, Jianxin

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Paragraph-antibody paratope prediction using graph neural networks with minimal feature vectors von Chinery, Lewis, Wahome, Newton, Moal, Iain, Deane, Charlotte M

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i6mA-Caps: a CapsuleNet-based framework for identifying DNA N6-methyladenine sites von Rehman, Mobeen Ur, Tayara, Hilal, Zou, Quan, Chong, Kil To

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Accurate and adaptive imputation of summary statistics in mixed-ethnicity cohorts von Togninalli, Matteo, Roqueiro, Damian, Borgwardt, Karsten M

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Integrating structured biological data by Kernel Maximum Mean Discrepancy von Borgwardt, Karsten M., Gretton, Arthur, Rasch, Malte J., Kriegel, Hans-Peter, Schölkopf, Bernhard, Smola, Alex J.

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RNA atlas of human bacterial pathogens uncovers stress dynamics linked to infection von Avican, Kemal, Aldahdooh, Jehad, Togninalli, Matteo, Mahmud, A. K. M. Firoj, Tang, Jing, Borgwardt, Karsten M., Rhen, Mikael, Fällman, Maria

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Perceiver CPI: a nested cross-attention network for compound-protein interaction prediction von Nguyen, Ngoc-Quang, Jang, Gwanghoon, Kim, Hajung, Kang, Jaewoo

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graphkernels: R and Python packages for graph comparison von Sugiyama, Mahito, Ghisu, M Elisabetta, Llinares-López, Felipe, Borgwardt, Karsten

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End-to-end learning of multiple sequence alignments with differentiable Smith–Waterman von Petti, Samantha, Bhattacharya, Nicholas, Rao, Roshan, Dauparas, Justas, Thomas, Neil, Zhou, Juannan, Rush, Alexander M, Koo, Peter, Ovchinnikov, Sergey

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gofasta: command-line utilities for genomic epidemiology research von Jackson, Ben

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easyGWAS: A Cloud-Based Platform for Comparing the Results of Genome-Wide Association Studies von Grimm, Dominik G., Roqueiro, Damian, Salomé, Patrice A., Kleeberger, Stefan, Greshake, Bastian, Zhu, Wangsheng, Liu, Chang, Lippert, Christoph, Stegle, Oliver, Schölkopf, Bernhard, Weigel, Detlef, Borgwardt, Karsten M.

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Early Prediction of Sepsis in the ICU Using Machine Learning: A Systematic Review von Moor, Michael, Rieck, Bastian, Horn, Max, Jutzeler, Catherine R., Borgwardt, Karsten

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Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis von Born, Jannis, Wiedemann, Nina, Cossio, Manuel, Buhre, Charlotte, Brändle, Gabriel, Leidermann, Konstantin, Goulet, Julie, Aujayeb, Avinash, Moor, Michael, Rieck, Bastian, Borgwardt, Karsten

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AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana von Togninalli, Matteo, Seren, Ümit, Freudenthal, Jan A, Monroe, J Grey, Meng, Dazhe, Nordborg, Magnus, Weigel, Detlef, Borgwardt, Karsten, Korte, Arthur, Grimm, Dominik G

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