C-COMPASS: a user-friendly neural network tool profiles cell compartments at protein and lipid levels.
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| Title: | C-COMPASS: a user-friendly neural network tool profiles cell compartments at protein and lipid levels. |
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| Authors: | Haas DT; Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Munich, Neuherberg, Germany.; German Center for Diabetes Research (DZD), Neuherberg, Germany., Weindl D; Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.; Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany., Kakimoto P; Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Munich, Neuherberg, Germany.; German Center for Diabetes Research (DZD), Neuherberg, Germany., Trautmann EM; Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Munich, Neuherberg, Germany.; German Center for Diabetes Research (DZD), Neuherberg, Germany., Schessner JP; Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany., Mao X; Regeneron Pharmaceuticals, Inc., Tarrytown, NY, USA., Gerl MJ; Lipotype GmbH, Dresden, Germany., Gerwien M; Max Delbrück Center for Molecular Medicine, Berlin, Germany., Müller TD; Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Munich, Neuherberg, Germany.; German Center for Diabetes Research (DZD), Neuherberg, Germany.; Walther Straub Institute of Pharmacology and Toxicology, Ludwig Maximilian University of Munich, Munich, Germany., Klose C; Lipotype GmbH, Dresden, Germany., Cheng X; Regeneron Pharmaceuticals, Inc., Tarrytown, NY, USA., Hasenauer J; Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.; Institute of Computational Biology, Helmholtz Zentrum München, Neuherberg, Germany., Krahmer N; Institute for Diabetes and Obesity, Helmholtz Diabetes Center, Helmholtz Munich, Neuherberg, Germany. natalie.krahmer@helmholtz-munich.de.; German Center for Diabetes Research (DZD), Neuherberg, Germany. natalie.krahmer@helmholtz-munich.de. |
| Source: | Nature methods [Nat Methods] 2026 Jan; Vol. 23 (1), pp. 118-130. Date of Electronic Publication: 2025 Dec 04. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Nature Pub. Group Country of Publication: United States NLM ID: 101215604 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1548-7105 (Electronic) Linking ISSN: 15487091 NLM ISO Abbreviation: Nat Methods Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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