Fröhlich H - Search Results

1

From hype to reality: data science enabling personalized medicine.

Fröhlich H, Balling R, Beerenwinkel N, Kohlbacher O, Kumar S, Lengauer T, Maathuis MH, Moreau Y, Murphy SA, Przytycka TM, Rebhan M, Röst H, Schuppert A, Schwab M, Spang R, Stekhoven D, Sun J, Weber A, Ziemek D, Zupan B. Fröhlich H, et al. BMC Med. 2018 Aug 27;16(1):150. doi: 10.1186/s12916-018-1122-7. BMC Med. 2018. PMID: 30145981 Free PMC article.

2

NEMix: single-cell nested effects models for probabilistic pathway stimulation.

Siebourg-Polster J, Mudrak D, Emmenlauer M, Rämö P, Dehio C, Greber U, Fröhlich H, Beerenwinkel N. Siebourg-Polster J, et al. Among authors: frohlich h. PLoS Comput Biol. 2015 Apr 16;11(4):e1004078. doi: 10.1371/journal.pcbi.1004078. eCollection 2015 Apr. PLoS Comput Biol. 2015. PMID: 25879530 Free PMC article.

3

A Geometric Method for Model Reduction of Biochemical Networks with Polynomial Rate Functions.

Samal SS, Grigoriev D, Fröhlich H, Weber A, Radulescu O. Samal SS, et al. Among authors: frohlich h. Bull Math Biol. 2015 Dec;77(12):2180-211. doi: 10.1007/s11538-015-0118-0. Epub 2015 Nov 23. Bull Math Biol. 2015. PMID: 26597097

4

Inferring modulators of genetic interactions with epistatic nested effects models.

Pirkl M, Diekmann M, van der Wees M, Beerenwinkel N, Fröhlich H, Markowetz F. Pirkl M, et al. Among authors: frohlich h. PLoS Comput Biol. 2017 Apr 13;13(4):e1005496. doi: 10.1371/journal.pcbi.1005496. eCollection 2017 Apr. PLoS Comput Biol. 2017. PMID: 28406896 Free PMC article.

5

Towards clinically more relevant dissection of patient heterogeneity via survival-based Bayesian clustering.

Ahmad A, Fröhlich H. Ahmad A, et al. Among authors: frohlich h. Bioinformatics. 2017 Nov 15;33(22):3558-3566. doi: 10.1093/bioinformatics/btx464. Bioinformatics. 2017. PMID: 28961917

6

Linking metabolic network features to phenotypes using sparse group lasso.

Samal SS, Radulescu O, Weber A, Fröhlich H. Samal SS, et al. Among authors: frohlich h. Bioinformatics. 2017 Nov 1;33(21):3445-3453. doi: 10.1093/bioinformatics/btx427. Bioinformatics. 2017. PMID: 29077809

7

A Simple 3-Parameter Model for Cancer Incidences.

Zhang X, Fröhlich H, Grigoriev D, Vakulenko S, Zimmermann J, Weber AG. Zhang X, et al. Among authors: frohlich h. Sci Rep. 2018 Feb 21;8(1):3388. doi: 10.1038/s41598-018-21734-x. Sci Rep. 2018. PMID: 29467476 Free PMC article.

8

Analyzing gene perturbation screens with nested effects models in R and bioconductor.

Fröhlich H, Beissbarth T, Tresch A, Kostka D, Jacob J, Spang R, Markowetz F. Fröhlich H, et al. Bioinformatics. 2008 Nov 1;24(21):2549-50. doi: 10.1093/bioinformatics/btn446. Epub 2008 Aug 21. Bioinformatics. 2008. PMID: 18718939 Free PMC article.

9

Prognostic gene signatures for patient stratification in breast cancer: accuracy, stability and interpretability of gene selection approaches using prior knowledge on protein-protein interactions.

Cun Y, Fröhlich HF. Cun Y, et al. BMC Bioinformatics. 2012 May 1;13:69. doi: 10.1186/1471-2105-13-69. BMC Bioinformatics. 2012. PMID: 22548963 Free PMC article.

10

Deep learning for clustering of multivariate clinical patient trajectories with missing values.

de Jong J, Emon MA, Wu P, Karki R, Sood M, Godard P, Ahmad A, Vrooman H, Hofmann-Apitius M, Fröhlich H. de Jong J, et al. Among authors: frohlich h. Gigascience. 2019 Nov 1;8(11):giz134. doi: 10.1093/gigascience/giz134. Gigascience. 2019. PMID: 31730697 Free PMC article.

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