Text-mining solutions for biomedical research: enabling integrative biology von Rebholz-Schuhmann, Dietrich, Oellrich, Anika, Hoehndorf, Robert

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Enabling personalised disease diagnosis by combining a patient's time-specific gene expression profile with a biomedical knowledge base von Verma, Ghanshyam, Rebholz-Schuhmann, Dietrich, Madden, Michael G

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Automatic recognition of conceptualization zones in scientific articles and two life science applications von Liakata, Maria, Saha, Shyamasree, Dobnik, Simon, Batchelor, Colin, Rebholz-Schuhmann, Dietrich

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Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images von Abedin, Jaynal, Antony, Joseph, McGuinness, Kevin, Moran, Kieran, O’Connor, Noel E., Rebholz-Schuhmann, Dietrich, Newell, John

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Predicting links between tumor samples and genes using 2-Layered graph based diffusion approach von Timilsina, Mohan, Yang, Haixuan, Sahay, Ratnesh, Rebholz-Schuhmann, Dietrich

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Text processing through Web services: calling Whatizit von Rebholz-Schuhmann, Dietrich, Arregui, Miguel, Gaudan, Sylvain, Kirsch, Harald, Jimeno, Antonio

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DeepKneeExplainer: Explainable Knee Osteoarthritis Diagnosis From Radiographs and Magnetic Resonance Imaging von Karim, Md. Rezaul, Jiao, Jiao, Dohmen, Till, Cochez, Michael, Beyan, Oya, Rebholz-Schuhmann, Dietrich, Decker, Stefan

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MeSH Up: effective MeSH text classification for improved document retrieval von Trieschnigg, Dolf, Pezik, Piotr, Lee, Vivian, de Jong, Franciska, Kraaij, Wessel, Rebholz-Schuhmann, Dietrich

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Adversary-Aware Multimodal Neural Networks for Cancer Susceptibility Prediction From Multiomics Data von Karim, Md. Rezaul, Islam, Tanhim, Lange, Christoph, Rebholz-Schuhmann, Dietrich, Decker, Stefan

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EBIMed—text crunching to gather facts for proteins from Medline von Rebholz-Schuhmann, Dietrich, Kirsch, Harald, Arregui, Miguel, Gaudan, Sylvain, Riethoven, Mark, Stoehr, Peter

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Ontology-based identification and prioritization of candidate drugs for epilepsy from literature von Müller, Bernd, Castro, Leyla Jael, Rebholz-Schuhmann, Dietrich

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Relations as patterns: bridging the gap between OBO and OWL von Hoehndorf, Robert, Oellrich, Anika, Dumontier, Michel, Kelso, Janet, Rebholz-Schuhmann, Dietrich, Herre, Heinrich

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Disease mentions in airport and hospital geolocations expose dominance of news events for disease concerns von Barros, Joana M, Duggan, Jim, Rebholz-Schuhmann, Dietrich

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Facts from text--is text mining ready to deliver? von Rebholz-Schuhmann, Dietrich, Kirsch, Harald, Couto, Francisco

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Interoperability between biomedical ontologies through relation expansion, upper-level ontologies and automatic reasoning von Hoehndorf, Robert, Dumontier, Michel, Oellrich, Anika, Rebholz-Schuhmann, Dietrich, Schofield, Paul N, Gkoutos, Georgios V

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Improving disease gene prioritization by comparing the semantic similarity of phenotypes in mice with those of human diseases von Oellrich, Anika, Hoehndorf, Robert, Gkoutos, Georgios V, Rebholz-Schuhmann, Dietrich

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Annotation of protein residues based on a literature analysis: cross-validation against UniProtKb von Nagel, Kevin, Jimeno-Yepes, Antonio, Rebholz-Schuhmann, Dietrich

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The BioLexicon: a large-scale terminological resource for biomedical text mining von Thompson, Paul, McNaught, John, Montemagni, Simonetta, Calzolari, Nicoletta, del Gratta, Riccardo, Lee, Vivian, Marchi, Simone, Monachini, Monica, Pezik, Piotr, Quochi, Valeria, Rupp, C J, Sasaki, Yutaka, Venturi, Giulia, Rebholz-Schuhmann, Dietrich, Ananiadou, Sophia

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Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data von Jha, Alokkumar, Khan, Yasar, Mehdi, Muntazir, Karim, Md Rezaul, Mehmood, Qaiser, Zappa, Achille, Rebholz-Schuhmann, Dietrich, Sahay, Ratnesh

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MedEvi: Retrieving textual evidence of relations between biomedical concepts from Medline von Kim, Jung-jae, Pezik, Piotr, Rebholz-Schuhmann, Dietrich

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