Mewes HW - Search Results

1

EXPANDS: expanding ploidy and allele frequency on nested subpopulations.

Andor N, Harness JV, Müller S, Mewes HW, Petritsch C. Andor N, et al. Among authors: mewes hw. Bioinformatics. 2014 Jan 1;30(1):50-60. doi: 10.1093/bioinformatics/btt622. Epub 2013 Oct 30. Bioinformatics. 2014. PMID: 24177718 Free PMC article.

2

Optimization models for cancer classification: extracting gene interaction information from microarray expression data.

Antonov AV, Tetko IV, Mader MT, Budczies J, Mewes HW. Antonov AV, et al. Among authors: mewes hw. Bioinformatics. 2004 Mar 22;20(5):644-52. doi: 10.1093/bioinformatics/btg462. Epub 2004 Jan 22. Bioinformatics. 2004. PMID: 15033871

3

A web portal for classification of expression data using maximal margin linear programming.

Antonov AV, Tetko IV, Prokopenko VV, Kosykh D, Mewes HW. Antonov AV, et al. Among authors: mewes hw. Bioinformatics. 2004 Nov 22;20(17):3284-5. doi: 10.1093/bioinformatics/bth376. Epub 2004 Jun 24. Bioinformatics. 2004. PMID: 15217811

4

Support vector machines for separation of mixed plant-pathogen EST collections based on codon usage.

Friedel CC, Jahn KH, Sommer S, Rudd S, Mewes HW, Tetko IV. Friedel CC, et al. Among authors: mewes hw. Bioinformatics. 2005 Apr 15;21(8):1383-8. doi: 10.1093/bioinformatics/bti200. Epub 2004 Dec 7. Bioinformatics. 2005. PMID: 15585526

5

Gene selection from microarray data for cancer classification--a machine learning approach.

Wang Y, Tetko IV, Hall MA, Frank E, Facius A, Mayer KF, Mewes HW. Wang Y, et al. Among authors: mewes hw. Comput Biol Chem. 2005 Feb;29(1):37-46. doi: 10.1016/j.compbiolchem.2004.11.001. Comput Biol Chem. 2005. PMID: 15680584

6

A systematic approach to infer biological relevance and biases of gene network structures.

Antonov AV, Tetko IV, Mewes HW. Antonov AV, et al. Among authors: mewes hw. Nucleic Acids Res. 2006 Jan 10;34(1):e6. doi: 10.1093/nar/gnj002. Nucleic Acids Res. 2006. PMID: 16407322 Free PMC article.

7

Complex functionality of gene groups identified from high-throughput data.

Antonov AV, Mewes HW. Antonov AV, et al. Among authors: mewes hw. J Mol Biol. 2006 Oct 13;363(1):289-96. doi: 10.1016/j.jmb.2006.07.062. Epub 2006 Jul 29. J Mol Biol. 2006. PMID: 16959266

8

BIOREL: the benchmark resource to estimate the relevance of the gene networks.

Antonov AV, Mewes HW. Antonov AV, et al. Among authors: mewes hw. FEBS Lett. 2006 Feb 6;580(3):844-8. doi: 10.1016/j.febslet.2005.12.101. Epub 2006 Jan 18. FEBS Lett. 2006. PMID: 16414044 Free article.

9

ProfCom: a web tool for profiling the complex functionality of gene groups identified from high-throughput data.

Antonov AV, Schmidt T, Wang Y, Mewes HW. Antonov AV, et al. Among authors: mewes hw. Nucleic Acids Res. 2008 Jul 1;36(Web Server issue):W347-51. doi: 10.1093/nar/gkn239. Epub 2008 May 6. Nucleic Acids Res. 2008. PMID: 18460543 Free PMC article.

10

Complex phylogenetic profiling reveals fundamental genotype-phenotype associations.

Antonov AV, Mewes HW. Antonov AV, et al. Among authors: mewes hw. Comput Biol Chem. 2008 Dec;32(6):412-6. doi: 10.1016/j.compbiolchem.2008.07.003. Epub 2008 Jul 10. Comput Biol Chem. 2008. PMID: 18753010

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