Middendorf M - Search Results

1

Discriminative topological features reveal biological network mechanisms.

Middendorf M, Ziv E, Adams C, Hom J, Koytcheff R, Levovitz C, Woods G, Chen L, Wiggins C. Middendorf M, et al. BMC Bioinformatics. 2004 Nov 22;5:181. doi: 10.1186/1471-2105-5-181. BMC Bioinformatics. 2004. PMID: 15555081 Free PMC article.

2

Systematic identification of statistically significant network measures.

Ziv E, Koytcheff R, Middendorf M, Wiggins C. Ziv E, et al. Among authors: middendorf m. Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Jan;71(1 Pt 2):016110. doi: 10.1103/PhysRevE.71.016110. Epub 2005 Jan 10. Phys Rev E Stat Nonlin Soft Matter Phys. 2005. PMID: 15697661

3

Inferring network mechanisms: the Drosophila melanogaster protein interaction network.

Middendorf M, Ziv E, Wiggins CH. Middendorf M, et al. Proc Natl Acad Sci U S A. 2005 Mar 1;102(9):3192-7. doi: 10.1073/pnas.0409515102. Epub 2005 Feb 22. Proc Natl Acad Sci U S A. 2005. PMID: 15728374 Free PMC article.

4

Predicting genetic regulatory response using classification.

Middendorf M, Kundaje A, Wiggins C, Freund Y, Leslie C. Middendorf M, et al. Bioinformatics. 2004 Aug 4;20 Suppl 1:i232-40. doi: 10.1093/bioinformatics/bth923. Bioinformatics. 2004. PMID: 15262804

5

Information-theoretic approach to network modularity.

Ziv E, Middendorf M, Wiggins CH. Ziv E, et al. Among authors: middendorf m. Phys Rev E Stat Nonlin Soft Matter Phys. 2005 Apr;71(4 Pt 2):046117. doi: 10.1103/PhysRevE.71.046117. Epub 2005 Apr 14. Phys Rev E Stat Nonlin Soft Matter Phys. 2005. PMID: 15903736

6

A classification-based framework for predicting and analyzing gene regulatory response.

Kundaje A, Middendorf M, Shah M, Wiggins CH, Freund Y, Leslie C. Kundaje A, et al. Among authors: middendorf m. BMC Bioinformatics. 2006 Mar 20;7 Suppl 1(Suppl 1):S5. doi: 10.1186/1471-2105-7-S1-S5. BMC Bioinformatics. 2006. PMID: 16723008 Free PMC article.

7

Combining sequence and time series expression data to learn transcriptional modules.

Kundaje A, Middendorf M, Gao F, Wiggins C, Leslie C. Kundaje A, et al. Among authors: middendorf m. IEEE/ACM Trans Comput Biol Bioinform. 2005 Jul-Sep;2(3):194-202. doi: 10.1109/TCBB.2005.34. IEEE/ACM Trans Comput Biol Bioinform. 2005. PMID: 17044183

8

Quantification of vehicular versus uncorrelated Li⁺-solvent transport in highly concentrated electrolytes via solvent-related Onsager coefficients.

Kilian H, Pothmann T, Lorenz M, Middendorf M, Seus S, Schönhoff M, Roling B. Kilian H, et al. Among authors: middendorf m. Phys Chem Chem Phys. 2025 Jan 15;27(3):1593-1603. doi: 10.1039/d4cp04209c. Phys Chem Chem Phys. 2025. PMID: 39711321

9

Diffusion and structure of propylene carbonate-metal salt electrolyte solutions for post-lithium-ion batteries: From experiment to simulation.

Karatrantos AV, Middendorf M, Nosov DR, Cai Q, Westermann S, Hoffmann K, Nürnberg P, Shaplov AS, Schönhoff M. Karatrantos AV, et al. Among authors: middendorf m. J Chem Phys. 2024 Aug 7;161(5):054502. doi: 10.1063/5.0216222. J Chem Phys. 2024. PMID: 39087537

10

Overdetermination method for accurate dynamic ion correlations in highly concentrated electrolytes.

Pothmann T, Middendorf M, Gerken C, Nürnberg P, Schönhoff M, Roling B. Pothmann T, et al. Among authors: middendorf m. Faraday Discuss. 2024 Oct 25;253(0):100-117. doi: 10.1039/d4fd00034j. Faraday Discuss. 2024. PMID: 39034760

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