Fröhlich H - Search Results

1

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

2

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.

3

Integration of pathway knowledge into a reweighted recursive feature elimination approach for risk stratification of cancer patients.

Johannes M, Brase JC, Fröhlich H, Gade S, Gehrmann M, Fälth M, Sültmann H, Beissbarth T. Johannes M, et al. Among authors: frohlich h. Bioinformatics. 2010 Sep 1;26(17):2136-44. doi: 10.1093/bioinformatics/btq345. Epub 2010 Jun 30. Bioinformatics. 2010. PMID: 20591905

4

Fast and efficient dynamic nested effects models.

Fröhlich H, Praveen P, Tresch A. Fröhlich H, et al. Bioinformatics. 2011 Jan 15;27(2):238-44. doi: 10.1093/bioinformatics/btq631. Epub 2010 Nov 10. Bioinformatics. 2011. PMID: 21068003

5

pathClass: an R-package for integration of pathway knowledge into support vector machines for biomarker discovery.

Johannes M, Fröhlich H, Sültmann H, Beissbarth T. Johannes M, et al. Among authors: frohlich h. Bioinformatics. 2011 May 15;27(10):1442-3. doi: 10.1093/bioinformatics/btr157. Epub 2011 Mar 30. Bioinformatics. 2011. PMID: 21450711

6

Network based consensus gene signatures for biomarker discovery in breast cancer.

Fröhlich H. Fröhlich H. PLoS One. 2011;6(10):e25364. doi: 10.1371/journal.pone.0025364. Epub 2011 Oct 25. PLoS One. 2011. PMID: 22046239 Free PMC article.

7

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.

8

Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data.

Zacher B, Abnaof K, Gade S, Younesi E, Tresch A, Fröhlich H. Zacher B, et al. Among authors: frohlich h. Bioinformatics. 2012 Jul 1;28(13):1714-20. doi: 10.1093/bioinformatics/bts257. Epub 2012 May 4. Bioinformatics. 2012. PMID: 22563068

9

Steiner tree methods for optimal sub-network identification: an empirical study.

Sadeghi A, Fröhlich H. Sadeghi A, et al. Among authors: frohlich h. BMC Bioinformatics. 2013 Apr 30;14:144. doi: 10.1186/1471-2105-14-144. BMC Bioinformatics. 2013. PMID: 23627667 Free PMC article.

10

netClass: an R-package for network based, integrative biomarker signature discovery.

Cun Y, Fröhlich H. Cun Y, et al. Among authors: frohlich h. Bioinformatics. 2014 May 1;30(9):1325-6. doi: 10.1093/bioinformatics/btu025. Epub 2014 Jan 17. Bioinformatics. 2014. PMID: 24443376

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