@book{MientusKlempinNowaketal.2023,
  author    = {Mientus, Lukas and Klempin, Christiane and Nowak, Anna and Wyss, Corinne and Aufschnaiter, Claudia von and Faix, Ann-Christin and te Poel, Kathrin and Wahbe, Nadia and Pieper, Martin and H{\"o}ller, Katharina and Kallenbach, Lea and F{\"o}rster, Magdalena and Redecker, Anke and Dick, Mirjam and Holle, J{\"o}rg and Schneider, Edina and Rehfeldt, Daniel and Brauns, Sarah and Abels, Simone and Ferencik-Lehmkuhl, Daria and Fr{\"a}nkel, Silvia and Frohn, Julia and Liebsch, Ann-Catherine and Pech, Detlef and Schreier, Pascal and Jessen, Moiken and Großmann, Uta and Skintey, Lesya and Voerkel, Paul and Vaz Ferreira, Mergenfel A. and Zimmermann, Jan-Simon and Buddeberg, Magdalena and Henke, Vanessa and Hornberg, Sabine and V{\"o}lschow, Yvette and Warrelmann, Julia-Nadine and Malek, Jennifer and Tinnefeld, Anja and Schmidt, Peggy and Bauer, Tobias and J{\"a}nisch, Christopher and Spitzer, Lisa and Franken, Nadine and Degeling, Maria and Preisfeld, Angelika and Meier, Jana and K{\"u}th, Simon and Scholl, Daniel and Vogelsang, Christoph and Watson, Christina and Weißbach, Anna and Kulgemeyer, Christoph and Oetken, Mandy and Gorski, Sebastian and Kubsch, Marcus and Sorge, Stefan and Wulff, Peter and Fellenz, Carolin D. and Schnell, Susanne and Larisch, Cathleen and Kaiser, Franz and Knott, Christina and Reimer, Stefanie and Stegm{\"u}ller, Nathalie and Boukray{\^a}a Trabelsi, Kathrin and Schißlbauer, Franziska and Lemberger, Lukas and Barth, Ulrike and Wiehl, Angelika and Rogge, Tim and B{\"o}hnke, Anja and Dietz, Dennis and Großmann, Leroy and Wienmeister, Annett and Zoppke, Till and Jiang, Lisa and Gr{\"u}nbauer, Stephanie and Ostersehlt, D{\"o}rte and Peukert, Sophia and Sch{\"a}fer, Christoph and L{\"o}big, Anna and Br{\"o}ll, Leena and Brandt, Birgit and Breuer, Meike and Dausend, Henriette and Krelle, Michael and Andersen, Gesine and Falke, Sascha and Kindermann-G{\"u}zel, Kristin and K{\"o}rner, Katrina and Lottermoser, Lisa-Marie and P{\"u}gner, Kati and Sonnenburg, Nadine and Akarsu, Selim and Rechl, Friederike and Gadinger, Laureen and Heinze, Lena and Wittmann, Eveline and Franke, Manuela and Lachmund, Anne-Marie and B{\"o}ttger, Julia and Hannover, Bettina and Behrendt, Renata and Conty, Valentina and Grundmann, Stephanie and Ghassemi, Novid and Opitz, Ben and Br{\"a}mer, Martin and Gasparjan, David and Sambanis, Michaela and K{\"o}ster, Hilde and L{\"u}cke, Martin and Nordmeier, Volkhard and Schaal, Sonja and Haberbosch, Maximilian and Meissner, Maren and Schaal, Steffen and Br{\"u}chner, Melanie and Riehle, Tamara and Leopold, Bengta Marie and Gerlach, Susanne and Rau-Patschke, Sarah and Skorsetz, Nina and Weber, Nadine and Damk{\"o}hler, Jens and Elsholz, Markus and Trefzger, Thomas and Lewek, Tobias and Borowski, Andreas},
  title     = {Reflexion in der Lehrkr{\"a}ftebildung},
  series = {Potsdamer Beitr{\"a}ge f{\"u}r Lehrkr{\"a}ftebildung und Bildungsforschung},
  journal   = {Potsdamer Beitr{\"a}ge f{\"u}r Lehrkr{\"a}ftebildung und Bildungsforschung},
  number    = {4},
  editor    = {Mientus, Lukas and Klempin, Christiane and Nowak, Anna},
  publisher = {Universit{\"a}tsverlag Potsdam},
  address   = {Potsdam},
  isbn      = {978-3-86956-566-8},
  issn      = {2626-3556},
  doi       = {10.25932/publishup-59171},
  url       = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-591717},
  publisher      = {Universit{\"a}t Potsdam},
  pages     = {452},
  year      = {2023},
  abstract  = {Reflexion ist eine Schl{\"u}sselkategorie f{\"u}r die professionelle Entwicklung von Lehrkr{\"a}ften, welche als Ausbildungsziel in den Bildungsstandards f{\"u}r die Lehrkr{\"a}ftebildung verankert ist. Eine Verstetigung universit{\"a}r gepr{\"a}gter Forschung und Modellierung in der praxisnahen Anwendung im schulischen Kontext bietet Potentiale nachhaltiger Professionalisierung. Die St{\"a}rkung reflexionsbezogener Kompetenzen durch Empirie und Anwendung scheint eine phasen{\"u}bergreifende Herausforderung der Lehrkr{\"a}ftebildung zu sein, die es zu bew{\"a}ltigen gilt. Ziele des Tagungsbandes Reflexion in der Lehrkr{\"a}ftebildung sind eine theoretische Sch{\"a}rfung des Konzeptes „Reflexive Professionalisierung" und der Austausch {\"u}ber Fragen der Einbettung wirksamer reflexionsbezogener Lerngelegenheiten in die Lehrkr{\"a}ftebildung. Forschende und Lehrende der‚ drei Phasen (Studium, Referendariat sowie Fort- und Weiterbildung) der Lehrkr{\"a}ftebildung stellen Lehrkonzepte und Forschungsprojekte zum Thema Reflexion in der Lehrkr{\"a}ftebildung vor und diskutieren diese. Gemeinsam mit Teilnehmenden aller Phasen und von verschiedenen Standorten der Lehrkr{\"a}ftebildung werden zuk{\"u}nftige Herausforderungen identifiziert und L{\"o}sungsans{\"a}tze herausgearbeitet.},
  language  = {de}
}
@misc{PerscheidFaberKrausetal.2018,
  author    = {Perscheid, Cindy and Faber, Lukas and Kraus, Milena and Arndt, Paul and Janke, Michael and Rehfeldt, Sebastian and Schubotz, Antje and Slosarek, Tamara and Uflacker, Matthias},
  title     = {A tissue-aware gene selection approach for analyzing multi-tissue gene expression data},
  series = {2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  journal   = {2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
  publisher = {IEEE},
  address   = {New York},
  isbn      = {978-1-5386-5488-0},
  issn      = {2156-1125},
  doi       = {10.1109/BIBM.2018.8621189},
  pages     = {2159 -- 2166},
  year      = {2018},
  abstract  = {High-throughput RNA sequencing (RNAseq) produces large data sets containing expression levels of thousands of genes. The analysis of RNAseq data leads to a better understanding of gene functions and interactions, which eventually helps to study diseases like cancer and develop effective treatments. Large-scale RNAseq expression studies on cancer comprise samples from multiple cancer types and aim to identify their distinct molecular characteristics. Analyzing samples from different cancer types implies analyzing samples from different tissue origin. Such multi-tissue RNAseq data sets require a meaningful analysis that accounts for the inherent tissue-related bias: The identified characteristics must not originate from the differences in tissue types, but from the actual differences in cancer types. However, current analysis procedures do not incorporate that aspect. As a result, we propose to integrate a tissue-awareness into the analysis of multi-tissue RNAseq data. We introduce an extension for gene selection that provides a tissue-wise context for every gene and can be flexibly combined with any existing gene selection approach. We suggest to expand conventional evaluation by additional metrics that are sensitive to the tissue-related bias. Evaluations show that especially low complexity gene selection approaches profit from introducing tissue-awareness.},
  language  = {en}
}