Schilling M - Search Results

1

MSPypeline: a python package for streamlined data analysis of mass spectrometry-based proteomics.

Heming S, Hansen P, Vlasov A, Schwörer F, Schaumann S, Frolovaitė P, Lehmann WD, Timmer J, Schilling M, Helm B, Klingmüller U. Heming S, et al. Among authors: schilling m. Bioinform Adv. 2022 Jan 17;2(1):vbac004. doi: 10.1093/bioadv/vbac004. eCollection 2022. Bioinform Adv. 2022. PMID: 36699356 Free PMC article.

2

Computational processing and error reduction strategies for standardized quantitative data in biological networks.

Schilling M, Maiwald T, Bohl S, Kollmann M, Kreutz C, Timmer J, Klingmüller U. Schilling M, et al. FEBS J. 2005 Dec;272(24):6400-11. doi: 10.1111/j.1742-4658.2005.05037.x. FEBS J. 2005. PMID: 16336276 Free article.

3

Quantitative data generation for systems biology: the impact of randomisation, calibrators and normalisers.

Schilling M, Maiwald T, Bohl S, Kollmann M, Kreutz C, Timmer J, Klingmüller U. Schilling M, et al. Syst Biol (Stevenage). 2005 Dec;152(4):193-200. doi: 10.1049/ip-syb:20050044. Syst Biol (Stevenage). 2005. PMID: 16986260

4

Standardizing experimental protocols.

Schilling M, Pfeifer AC, Bohl S, Klingmüller U. Schilling M, et al. Curr Opin Biotechnol. 2008 Aug;19(4):354-9. doi: 10.1016/j.copbio.2008.06.007. Epub 2008 Jul 19. Curr Opin Biotechnol. 2008. PMID: 18617004 Review.

5

Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihood.

Raue A, Kreutz C, Maiwald T, Bachmann J, Schilling M, Klingmüller U, Timmer J. Raue A, et al. Among authors: schilling m. Bioinformatics. 2009 Aug 1;25(15):1923-9. doi: 10.1093/bioinformatics/btp358. Epub 2009 Jun 8. Bioinformatics. 2009. PMID: 19505944

6

Theoretical and experimental analysis links isoform-specific ERK signalling to cell fate decisions.

Schilling M, Maiwald T, Hengl S, Winter D, Kreutz C, Kolch W, Lehmann WD, Timmer J, Klingmüller U. Schilling M, et al. Mol Syst Biol. 2009;5:334. doi: 10.1038/msb.2009.91. Epub 2009 Dec 22. Mol Syst Biol. 2009. PMID: 20029368 Free PMC article.

7

Covering a broad dynamic range: information processing at the erythropoietin receptor.

Becker V, Schilling M, Bachmann J, Baumann U, Raue A, Maiwald T, Timmer J, Klingmüller U. Becker V, et al. Among authors: schilling m. Science. 2010 Jun 11;328(5984):1404-8. doi: 10.1126/science.1184913. Epub 2010 May 20. Science. 2010. PMID: 20488988

8

Dynamic mathematical modeling of IL13-induced signaling in Hodgkin and primary mediastinal B-cell lymphoma allows prediction of therapeutic targets.

Raia V, Schilling M, Böhm M, Hahn B, Kowarsch A, Raue A, Sticht C, Bohl S, Saile M, Möller P, Gretz N, Timmer J, Theis F, Lehmann WD, Lichter P, Klingmüller U. Raia V, et al. Among authors: schilling m. Cancer Res. 2011 Feb 1;71(3):693-704. doi: 10.1158/0008-5472.CAN-10-2987. Epub 2010 Dec 2. Cancer Res. 2011. PMID: 21127196

9

Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range.

Bachmann J, Raue A, Schilling M, Böhm ME, Kreutz C, Kaschek D, Busch H, Gretz N, Lehmann WD, Timmer J, Klingmüller U. Bachmann J, et al. Among authors: schilling m. Mol Syst Biol. 2011 Jul 19;7:516. doi: 10.1038/msb.2011.50. Mol Syst Biol. 2011. PMID: 21772264 Free PMC article.

10

Predictive mathematical models of cancer signalling pathways.

Bachmann J, Raue A, Schilling M, Becker V, Timmer J, Klingmüller U. Bachmann J, et al. Among authors: schilling m. J Intern Med. 2012 Feb;271(2):155-65. doi: 10.1111/j.1365-2796.2011.02492.x. J Intern Med. 2012. PMID: 22142263 Free article. Review.

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