Publications

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam, Francesca Alloatti, Glenda Amaral, Claudia d'Amato, Luigi Asprino, Martin Beno, Felix Bensmann, Russa Biswas, Ling Cai, Riley Capshaw, Valentina Anita Carriero, Irene Celino, Amine Dadoun, Stefano De Giorgis, Harm Delva, John Domingue, Michel Dumontier, Vincent Emonet, Marieke van Erp, Paola Espinoza Arias, Omaima Fallatah, Sebastián Ferrada, Marc Gallofré Ocaña, Michalis Georgiou, Genet Asefa Gesese, Frances Gillis-Webber, Francesca Giovannetti, Mar\`ıa Granados Buey, Ismail Harrando, Ivan Heibi, Vitor Horta, Laurine Huber, Federico Igne, Mohamad Yaser Jaradeh, Neha Keshan, Aneta Koleva, Bilal Koteich, Kabul Kurniawan, Mengya Liu, Chuangtao Ma, Lientje Maas, Martin Mansfield, Fabio Mariani, Eleonora Marzi, Sepideh Mesbah, Maheshkumar Mistry, Alba Catalina Morales Tirado, Anna Nguyen, Viet Bach Nguyen, Allard Oelen, Valentina Pasqual, Heiko Paulheim, Axel Polleres, Margherita Porena, Jan Portisch, Valentina Presutti, Kader Pustu-Iren, Ariam Rivas Mendez, Soheil Roshankish, Sebastian Rudolph, Harald Sack, Ahmad Sakor, Jaime Salas, Thomas Schleider, Meilin Shi, Gianmarco Spinaci, Chang Sun, Tabea Tietz, Molka Tounsi Dhouib, Alessandro Umbrico, Wouter van den Berg, und Weiqin Xu. Knowledge Graphs evolution and preservation -- A technical report from ISWS 2019. arXiv, 2020. [PUMA: topic_lifescience]

Melissa F. Adasme, Sarah Naomi Bolz, Ali Al-Fatlawi, und Michael Schroeder. Decomposing compounds enables reconstruction of interaction fingerprints for structure-based drug screening. Journal of Cheminformatics, (14)1Springer Science and Business Media LLC, März 2022. [PUMA: imported topic_lifescience] URL

Najia Ahmadi, Quang Vu Nguyen, Martin Sedlmayr, und Markus Wolfien. A comparative patient-level prediction study in OMOP CDM: applicative potential and insights from synthetic data. Scientific Reports, (14)1:2287, Januar 2024. [PUMA: topic_lifescience] URL

Najia Ahmadi, Michele Zoch, Patricia Kelbert, Richard Noll, Jannik Schaaf, Markus Wolfien, und Martin Sedlmayr. Methods used in the development of common data models for health data: Scoping review. JMIR Med. Inform., (11):e45116, August 2023. [PUMA: Observational Data Healthcare; Interoperability; health Repositories; Interoperability Partnership elements; elements Healthcare model; ; Process; Medical Informatics; data; harmonisation; Suggestive data Process record; stakeholder Standardized Repositories Outcomes Partnership; involvement common record topic_lifescience Development harmonisation model Informatics electronic]

Ali Al-Fatlawi, Nazia Afrin, Cigdem Ozen, Negin Malekian, und Michael Schroeder. NetRank Recovers Known Cancer Hallmark Genes as Universal Biomarker Signature for Cancer Outcome Prediction. Frontiers in Bioinformatics, (2)Frontiers Media SA, März 2022. [PUMA: imported topic_lifescience] URL

Ali Al-Fatlawi, Negin Malekian, Sebastián Garc\'ıa, Andreas Henschel, Ilwook Kim, Andreas Dahl, Beatrix Jahnke, Peter Bailey, Sarah Naomi Bolz, Anna R Poetsch, Sandra Mahler, Robert Grützmann, Christian Pilarsky, und Michael Schroeder. Deep learning improves pancreatic cancer diagnosis using RNA-based variants. Cancers (Basel), (13)11:2654, MDPI AG, Mai 2021. [PUMA: cancer; pancreatitis; study transcriptome-wide deep learning; topic_lifescience association pancreatic chronic]

Ali Al-Fatlawi, Martin Menzel, und Michael Schroeder. Is protein BLAST a thing of the past?. Nat. Commun., (14)1:8195, Dezember 2023. [PUMA: topic_lifescience]

Ali Al-Fatlawi, Eka Rusadze, Alexander Shmelkin, Negin Malekian, Cigdem Ozen, Christian Pilarsky, und Michael Schroeder. Netrank: network-based approach for biomarker discovery. BMC Bioinformatics, (24)1:304, Juli 2023. [PUMA: Biomarker; R expression; Gene RNA package; networks; topic_lifescience Cancer; Protein]

Ali Al-Fatlawi, Michael Schroeder, und A Francis Stewart. The Rad52 SSAP superfamily and new insight into homologous recombination. Commun. Biol., (6)1:87, Januar 2023. [PUMA: topic_lifescience]

Diego Alamo, Jens Meiler, und Hassane Mchaourab. Principles of Alternating Access in LeuT-fold Transporters: Commonalities and Divergences. Mai 2022. [PUMA: imported topic_lifescience]

Nicola J Armstrong, Karen A Mather, Muralidharan Sargurupremraj, Maria J Knol, Rainer Malik, Claudia L Satizabal, Lisa R Yanek, Wei Wen, Vilmundur G Gudnason, Nicole D Dueker, Lloyd T Elliott, Edith Hofer, Joshua Bis, Neda Jahanshad, Shuo Li, Mark A Logue, Michelle Luciano, Markus Scholz, Albert V Smith, Stella Trompet, Dina Vojinovic, Rui Xia, Fidel Alfaro-Almagro, David Ames, Najaf Amin, Philippe Amouyel, Alexa S Beiser, Henry Brodaty, Ian J Deary, Christine Fennema-Notestine, Piyush G Gampawar, Rebecca Gottesman, Ludovica Griffanti, Clifford R Jack, Jr, Mark Jenkinson, Jiyang Jiang, Brian G Kral, John B Kwok, Leonie Lampe, David C M Liewald, Pauline Maillard, Jonathan Marchini, Mark E Bastin, Bernard Mazoyer, Lukas Pirpamer, José Rafael Romero, Gennady V Roshchupkin, Peter R Schofield, Matthias L Schroeter, David J Stott, Anbupalam Thalamuthu, Julian Trollor, Christophe Tzourio, Jeroen van der Grond, Meike W Vernooij, Veronica A Witte, Margaret J Wright, Qiong Yang, Zoe Morris, Siggi Siggurdsson, Bruce Psaty, Arno Villringer, Helena Schmidt, Asta K Haberg, Cornelia M van Duijn, J Wouter Jukema, Martin Dichgans, Ralph L Sacco, Clinton B Wright, William S Kremen, Lewis C Becker, Paul M Thompson, Thomas H Mosley, Joanna M Wardlaw, M Arfan Ikram, Hieab H H Adams, Sudha Seshadri, Perminder S Sachdev, Stephen M Smith, Lenore Launer, William Longstreth, Charles DeCarli, Reinhold Schmidt, Myriam Fornage, Stephanie Debette, und Paul A Nyquist. Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensities. Stroke, (51)7:2111--2121, Ovid Technologies (Wolters Kluwer Health), Juli 2020. [PUMA: genome-wide neuroimaging; white study; topic_lifescience association brain; risk factors; matter]

Mina Ghadimi Atigh, Martin Keller-Ressel, und Pascal Mettes. Hyperbolic Busemann Learning with ideal prototypes. arXiv, 2021. [PUMA: topic_lifescience]

Franz Baader, und Filippo De Bortoli. Description Logics that Count, and What They Can and Cannot Count (Extended Abstract). In Stefan Borgwardt, und Thomas Meyer (Hrsg.), Proceedings of the 33rd International Workshop on Description Logics (DL'20), (2663)CEUR-WS, Online, 2020. [PUMA: topic_lifescience]

Franz Baader, und Francesco Kriegel. Pushing Optimal ABox Repair from ℰℒ Towards More Expressive Horn-DLs (Extended Version). 22-02Dresden, Germany, 2022. [PUMA: topic_knowledge topic_lifescience area_methods]

Lukas Silvester Barth, Fatemeh, Fahimi, Parvaneh Joharinad, Jürgen Jost, und Janis Keck. IsUMap: Manifold Learning and Data Visualization leveraging Vietoris-Rips filtrations. 2024. [PUMA: imported topic_mathfoundation topic_lifescience] URL

Lukas Silvester Barth, Fatemeh, Fahimi, Parvaneh Joharinad, Jürgen Jost, Janis Keck, und Thomas Jan Mikhail. Fuzzy simplicial sets and their application to geometric data analysis. 2024. [PUMA: imported topic_mathfoundation topic_lifescience] URL

Martin Bentler, Romain Hardet, Moritz Ertelt, Daniela Rudolf, Dorota Kaniowska, Andreas Schneider, Florian WR Vondran, Clara T Schoeder, Marion Delphin, Julie Lucifora, und others. Modifying immune responses to adeno-associated virus vectors by capsid engineering. Molecular Therapy-Methods & Clinical Development, (30):576--592, Elsevier, 2023. [PUMA: modifying immune topic_lifescience adeno_virus responses capsid_engineering]

Annalen Bleckmann, und Jens Meiler. Epothilones: Quantitative Structure Activity Relations Studied by Support Vector Machines and Artificial Neural Networks. QSAR & Combinatorial Science, (22)7:722–728, Wiley, Oktober 2003. [PUMA: imported topic_lifescience] URL

Alexandra M Blee, Bian Li, Turner Pecen, Jens Meiler, Zachary D Nagel, John A Capra, und Walter J Chazin. An active learning framework improves tumor variant interpretation. Cancer Res., (82)15:2704--2715, August 2022. [PUMA: imported topic_lifescience]

Alexandra M. Blee, Bian Li, Turner Pecen, Jens Meiler, Zachary D. Nagel, John A. Capra, und Walter J. Chazin. An Active Learning Framework Improves Tumor Variant Interpretation. Cancer Research, (82)15:2704–2715, American Association for Cancer Research (AACR), Juni 2022. [PUMA: imported topic_lifescience] URL