Clevert DA - Search Results

1

cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate.

Klambauer G, Schwarzbauer K, Mayr A, Clevert DA, Mitterecker A, Bodenhofer U, Hochreiter S. Klambauer G, et al. Among authors: clevert da. Nucleic Acids Res. 2012 May;40(9):e69. doi: 10.1093/nar/gks003. Epub 2012 Feb 1. Nucleic Acids Res. 2012. PMID: 22302147 Free PMC article.

2

A new summarization method for Affymetrix probe level data.

Hochreiter S, Clevert DA, Obermayer K. Hochreiter S, et al. Among authors: clevert da. Bioinformatics. 2006 Apr 15;22(8):943-9. doi: 10.1093/bioinformatics/btl033. Epub 2006 Feb 10. Bioinformatics. 2006. PMID: 16473874

3

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data.

Talloen W, Clevert DA, Hochreiter S, Amaratunga D, Bijnens L, Kass S, Göhlmann HW. Talloen W, et al. Among authors: clevert da. Bioinformatics. 2007 Nov 1;23(21):2897-902. doi: 10.1093/bioinformatics/btm478. Epub 2007 Oct 5. Bioinformatics. 2007. PMID: 17921172

4

FABIA: factor analysis for bicluster acquisition.

Hochreiter S, Bodenhofer U, Heusel M, Mayr A, Mitterecker A, Kasim A, Khamiakova T, Van Sanden S, Lin D, Talloen W, Bijnens L, Göhlmann HW, Shkedy Z, Clevert DA. Hochreiter S, et al. Among authors: clevert da. Bioinformatics. 2010 Jun 15;26(12):1520-7. doi: 10.1093/bioinformatics/btq227. Epub 2010 Apr 23. Bioinformatics. 2010. PMID: 20418340 Free PMC article.

5

cn.FARMS: a latent variable model to detect copy number variations in microarray data with a low false discovery rate.

Clevert DA, Mitterecker A, Mayr A, Klambauer G, Tuefferd M, De Bondt A, Talloen W, Göhlmann H, Hochreiter S. Clevert DA, et al. Nucleic Acids Res. 2011 Jul;39(12):e79. doi: 10.1093/nar/gkr197. Epub 2011 Apr 12. Nucleic Acids Res. 2011. PMID: 21486749 Free PMC article.

6

Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures.

Munro SA, Lund SP, Pine PS, Binder H, Clevert DA, Conesa A, Dopazo J, Fasold M, Hochreiter S, Hong H, Jafari N, Kreil DP, Łabaj PP, Li S, Liao Y, Lin SM, Meehan J, Mason CE, Santoyo-Lopez J, Setterquist RA, Shi L, Shi W, Smyth GK, Stralis-Pavese N, Su Z, Tong W, Wang C, Wang J, Xu J, Ye Z, Yang Y, Yu Y, Salit M. Munro SA, et al. Among authors: clevert da. Nat Commun. 2014 Sep 25;5:5125. doi: 10.1038/ncomms6125. Nat Commun. 2014. PMID: 25254650 Free article.

7

Rectified factor networks for biclustering of omics data.

Clevert DA, Unterthiner T, Povysil G, Hochreiter S. Clevert DA, et al. Bioinformatics. 2017 Jul 15;33(14):i59-i66. doi: 10.1093/bioinformatics/btx226. Bioinformatics. 2017. PMID: 28881961 Free PMC article.

8

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL.

Mayr A, Klambauer G, Unterthiner T, Steijaert M, Wegner JK, Ceulemans H, Clevert DA, Hochreiter S. Mayr A, et al. Among authors: clevert da. Chem Sci. 2018 Jun 6;9(24):5441-5451. doi: 10.1039/c8sc00148k. eCollection 2018 Jun 28. Chem Sci. 2018. PMID: 30155234 Free PMC article.

9

Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks.

Hofmarcher M, Rumetshofer E, Clevert DA, Hochreiter S, Klambauer G. Hofmarcher M, et al. Among authors: clevert da. J Chem Inf Model. 2019 Mar 25;59(3):1163-1171. doi: 10.1021/acs.jcim.8b00670. Epub 2019 Mar 6. J Chem Inf Model. 2019. PMID: 30840449

10

Artificial Intelligence Meets Toxicology.

Tetko IV, Klambauer G, Clevert DA, Shah I, Benfenati E. Tetko IV, et al. Among authors: clevert da. Chem Res Toxicol. 2022 Aug 15;35(8):1289-1290. doi: 10.1021/acs.chemrestox.2c00196. Chem Res Toxicol. 2022. PMID: 35965447 Free PMC article. No abstract available.

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