Book chapters
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Baumbach J, Majdabadi MMK, Saak C, Bakhtiari M, Probul N (2024) Föderiertes Lernen: ein Hilfsmittel zur datenschutzkonformen Forschung in der Biomedizin und darüber hinaus. In: Buchholtz G, Hering L (eds) Digital Health und Recht. Zu den rechtlichen Rahmenbedingungen der Digitalisierung des Gesundheitswesens, 2024, pp 263-284, Duncker & Humblot, Berlin.
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Lazareva O, Lautizi M, Fenn A, List M, Kacprowski T, Baumbach J (2020) Multi-Omics Analysis in a Network Context. In: Wolkenhauer O. (eds) Systems Medicine: Integrative, Qualitative and Computational Approaches. Reference Module in Biomedical Sciences, vol 1, 2021, pp 224-233, Elsevier (download from ScienceDirect)
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Nogales C, Grønning AGB, Sadegh S, Baumbach J, Schmidt HHHW (2020) Network Medicine-Based Unbiased Disease Modules for Drug and Diagnostic Target Identification in ROSopathies. In: Handbook of Experimental Pharmacology. 2020 Aug 12. Springer, Berlin, Heidelberg. (download from Springer)
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Sturm G, Finotello F, List M (2020) In Silico Cell-Type Deconvolution Methods in Cancer Immunotherapy. In: Boegel S. (eds) Bioinformatics for Cancer Immunotherapy. Methods in Molecular Biology, vol 2120. Spring Science, Humana, New York, NY (download from Oxford Academic)
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List M, Alcaraz N, Batra R (2019) De Novo Pathway-Based Classification of Breast Cancer Subtypes. In: Canzar S, Ringeling FR. (eds) Protein-Protein Interaction Networks: Methods and Protocols. Methods in Molecular Biology, vol 2074, pp 201-213. Spring Science, Humana Press, New York, NY (download from Springer)
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Alcaraz N, Hartebrodt A, List M (2019) De Novo Pathway Enrichment with KeyPathwayMiner. In: Canzar S, Ringeling FR. (eds) Protein-Protein Interaction Networks: Methods and Protocols. Methods in Molecular Biology, vol 2074, pp 181-199 Spring Science, Humana Press, New York, NY (download from Springer)
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Frisch T, Gøttcke J, Röttger R, Tan Q, Baumbach J (2018) DiMmer: Discovery of Differentially Methylated Regions in Epigenome-Wide Association Study (EWAS) Data. In: Mamitsuka H. (eds) Data Mining for Systems Biology. Methods in Molecular Biology, vol 1807, pp 51-62. Spring Science, Humana Press, New York, NY (download from Springer)
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Lund J, Tan Q, Baumbach J (2018) Online Interactive Microbial Classification and Geospatial Distributional Analysis Using BioAtlas. In: Mamitsuka H. (eds) Data Mining for Systems Biology. Methods in Molecular Biology, vol 1807, pp 21-35. Spring Science, Humana Press, New York, NY (download from Springer)