| The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets T Saito, M Rehmsmeier PloS one 10 (3), e0118432, 2015 | 4194 | 2015 |
| Fast and effective prediction of microRNA/target duplexes M Rehmsmeier, P Steffen, M Höchsmann, R Giegerich Rna 10 (10), 1507-1517, 2004 | 2836 | 2004 |
| RNAhybrid: microRNA target prediction easy, fast and flexible J Krüger, M Rehmsmeier Nucleic acids research 34 (suppl 2), W451-W454, 2006 | 1914 | 2006 |
| A functional screen implicates microRNA-138-dependent regulation of the depalmitoylation enzyme APT1 in dendritic spine morphogenesis G Siegel, G Obernosterer, R Fiore, M Oehmen, S Bicker, M Christensen, ... Nature cell biology 11 (6), 705-716, 2009 | 599 | 2009 |
| RNAshapes: an integrated RNA analysis package based on abstract shapes P Steffen, B Voß, M Rehmsmeier, J Reeder, R Giegerich Bioinformatics 22 (4), 500-503, 2006 | 403 | 2006 |
| Genome-wide prediction of Polycomb/Trithorax response elements in Drosophila melanogaster L Ringrose, M Rehmsmeier, JM Dura, R Paro Developmental cell 5 (5), 759-771, 2003 | 348 | 2003 |
| Abstract shapes of RNA R Giegerich, B Voß, M Rehmsmeier Nucleic acids research 32 (16), 4843-4851, 2004 | 299 | 2004 |
| High-resolution analysis of parent-of-origin allelic expression in the Arabidopsis endosperm P Wolff, I Weinhofer, J Seguin, P Roszak, C Beisel, MTA Donoghue, ... PLoS genetics 7 (6), e1002126, 2011 | 277 | 2011 |
| Precrec: fast and accurate precision–recall and ROC curve calculations in R T Saito, M Rehmsmeier Bioinformatics 33 (1), 145-147, 2017 | 230 | 2017 |
| Polyploidization increases meiotic recombination frequency in Arabidopsis A Pecinka, W Fang, M Rehmsmeier, AA Levy, O Mittelsten Scheid BMC biology 9, 1-7, 2011 | 146 | 2011 |
| Comprehensive prediction of novel microRNA targets in Arabidopsis thaliana L Alves-Junior, S Niemeier, A Hauenschild, M Rehmsmeier, T Merkle Nucleic Acids Research 37 (12), 4010-4021, 2009 | 127 | 2009 |
| Complete probabilistic analysis of RNA shapes B Voß, R Giegerich, M Rehmsmeier BMC biology 4, 1-23, 2006 | 114 | 2006 |
| Beyond Mfold: recent advances in RNA bioinformatics J Reeder, M Höchsmann, M Rehmsmeier, B Voss, R Giegerich Journal of biotechnology 124 (1), 41-55, 2006 | 95 | 2006 |
| Non-symmetric score matrices and the detection of homologous transmembrane proteins T Müller, S Rahmann, M Rehmsmeier Bioinformatics 17 (suppl 1), S182-S189, 2001 | 93 | 2001 |
| Evolutionary plasticity of polycomb/trithorax response elements in Drosophila species A Hauenschild, L Ringrose, C Altmutter, R Paro, M Rehmsmeier PLoS Biol 6 (10), e261, 2008 | 62 | 2008 |
| jPREdictor: a versatile tool for the prediction of cis-regulatory elements T Fiedler, M Rehmsmeier Nucleic acids research 34 (suppl 2), W546-W550, 2006 | 56 | 2006 |
| A novel approach to remote homology detection: jumping alignments R Spang, M Rehmsmeier, J Stoye Journal of Computational Biology 9 (5), 747-760, 2002 | 54 | 2002 |
| Phylogenetic information improves homology detection M Rehmsmeier, M Vingron Proteins: Structure, Function, and Bioinformatics 45 (4), 360-371, 2001 | 37 | 2001 |
| Prediction and visualization of structural switches in RNA R Giegerich, D Haase, M Rehmsmeier Pacific Symposium on Biocomputing, 126-137, 1999 | 35 | 1999 |
| Robust de novo pathway enrichment with KeyPathwayMiner 5 N Alcaraz, M List, M Dissing-Hansen, M Rehmsmeier, Q Tan, ... F1000Research 5, 1531, 2016 | 31 | 2016 |
