Spatial and temporal characteristics of atomic nitrogen in a pulsed microwave discharge von Repsilber, T, Baeva, M, Uhlenbusch, J

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Absolute Calibration of TALIF of Atomic Nitrogen by NO Titration?Experimental and Theoretical Analysis von Repsilber, T., Uhlenbusch, J.

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Quantitative analysis of proton imaging measurements of laser-induced plasmas von REPSILBER, T, BORGHESI, M, WILLI, O, GAUTHIER, J.-C, LÖWENBRÜCK, K, MACKINNON, A, MALKA, V, PATEL, P, PRETZLER, G, ROMAGNANI, L, TONCIAN, T

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Experimental investigation and modelling of a low-pressure pulsed microwave discharge in oxygen von Baeva, M, Luo, X, Pfelzer, B, Repsilber, T, Uhlenbusch, J

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Omics Data Analysis of Complex Diseases and Traits von Hosseini Ashtiani, Saman

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Analysis of Systemic Epigenetic Alterations in Inflammatory Bowel Disease: Defining Geographical, Genetic and Immune-Inflammatory influences on the Circulating Methylome von Kalla, Rahul, Adams, Alex T, Nowak, Jan K, Bergemalm, Daniel, Vatn, Simen, Ventham, Nicholas T, Kennedy, Nicholas A, Ricanek, Petr, Lindstrom, Jonas, Söderholm, Johan, Pierik, Marie, D'Amato, Mauro, Gomollón, Fernando, Olbjørn, Christine, Richmond, Rebecca, Relton, Caroline, Jahnsen, Jørgen, Vatn, Morten H, Halfvarson, Jonas, Satsangi, Jack

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Characterisation of the Circulating Transcriptomic Landscape in Inflammatory Bowel Disease Provides Evidence for Dysregulation of Multiple Transcription Factors Including NFE2, SPI... von Nowak, Jan K, Adams, Alex T, Kalla, Rahul, Lindstrøm, Jonas C, Vatn, Simen, Bergemalm, Daniel, Keita, Åsa V, Gomollón, Fernando, Jahnsen, Jørgen, Vatn, Morten H, Ricanek, Petr, Ostrowski, Jerzy, Walkowiak, Jaroslaw, Halfvarson, Jonas, Satsangi, Jack

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The prevalence and transcriptional activity of the mucosal microbiota of ulcerative colitis patients von Moen, Aina E. Fossum, Lindstrøm, Jonas Christoffer, Tannæs, Tone Møller, Vatn, Simen, Ricanek, Petr, Vatn, Morten H., Jahnsen, Jørgen

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Finding Biomarker Signatures in Pooled Sample Designs: A Simulation Framework for Methodological Comparisons von Telaar, Anna, Nürnberg, Gerd, Repsilber, Dirk

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Metagenomic Characterization of the Gut Microbiome in Cohorts of Elderly von Rajan, Sukithar K

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Biomarkers for Diagnosis, Therapy and Prognosis in Colorectal Cancer: a study from databases, machine learning predictions to laboratory confirmations von Zhang, Xueli

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Human gene expression profiles of susceptibility and resistance in tuberculosis von Maertzdorf, J, Repsilber, D, Parida, S K, Stanley, K, Roberts, T, Black, G, Walzl, G, Kaufmann, S H E

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The relationship between faecal‐associated and mucosal‐associated microbiota in irritable bowel syndrome patients and healthy subjects von Rangel, I., Sundin, J., Fuentes, S., Repsilber, D., Vos, W. M., Brummer, R. J.

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Subphenotypes of inflammatory bowel disease are characterized by specific serum protein profiles von Andersson, Erik, Bergemalm, Daniel, Kruse, Robert, Neumann, Gunter, D'Amato, Mauro, Repsilber, Dirk, Halfvarson, Jonas

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Serum proteomic profiling at diagnosis predicts clinical course, and need for intensification of treatment in inflammatory bowel disease von Kalla, R, Adams, A T, Bergemalm, D, Vatn, S, Kennedy, N A, Ricanek, P, Lindstrom, J, Ocklind, A, Hjelm, F, Ventham, N T, Ho, G T, Petren, C, Repsilber, D, Söderholm, J, Pierik, M, D’Amato, M, Gomollón, F, Olbjorn, C, Jahnsen, J, Vatn, M H, Halfvarson, J, Satsangi, J

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Prognostic subgroups of chronic pain patients using latent variable mixture modeling within a supervised machine learning framework von Zhao, Xiang, Dannenberg, Katharina, Repsilber, Dirk, Gerdle, Björn, Molander, Peter, Hesser, Hugo

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Technological readiness and implementation of genomic‐driven precision medicine for complex diseases von Franks, P. W., Melén, E., Friedman, M., Sundström, J., Kockum, I., Klareskog, L., Almqvist, C., Bergen, S. E., Czene, K., Hägg, S., Hall, P., Johnell, K., Malarstig, A., Catrina, A., Hagström, H., Benson, M., Gustav Smith, J., Gomez, M. F, Orho‐Melander, M., Jacobsson, B., Halfvarson, J., Repsilber, D., Oresic, M., Jern, C., Melin, B., Ohlsson, C., Fall, T., Rönnblom, L., Wadelius, M., Nordmark, G., Johansson, Å., Rosenquist, R., Sullivan, P. F.

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Author Correction: Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance von Tuerxun, Kedeye, Eklund, Daniel, Wallgren, Ulrika, Dannenberg, Katharina, Repsilber, Dirk, Kruse, Robert, Särndahl, Eva, Kurland, Lisa

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Predicting sepsis using a combination of clinical information and molecular immune markers sampled in the ambulance von Tuerxun, Kedeye, Eklund, Daniel, Wallgren, Ulrika, Dannenberg, Katharina, Repsilber, Dirk, Kruse, Robert, Särndahl, Eva, Kurland, Lisa

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Predicting Chemical-Induced Liver Toxicity Using High-Content Imaging Phenotypes and Chemical Descriptors: A Random Forest Approach von Chavan, Swapnil, Scherbak, Nikolai, Engwall, Magnus, Repsilber, Dirk

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