| The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models Nature biotechnology 28 (8), 827-838, 2010 | 849 | 2010 |
| A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium Nature biotechnology 32 (9), 903-914, 2014 | 842 | 2014 |
| The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance C Wang, B Gong, PR Bushel, J Thierry-Mieg, D Thierry-Mieg, J Xu, ... Nature biotechnology 32 (9), 926-932, 2014 | 517 | 2014 |
| A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data J Luo, M Schumacher, A Scherer, D Sanoudou, D Megherbi, T Davison, ... The pharmacogenomics journal 10 (4), 278-291, 2010 | 352 | 2010 |
| Reporting guidelines for human microbiome research: the STORMS checklist C Mirzayi, A Renson, Genomic Standards Consortium, ... Nature medicine 27 (11), 1885-1892, 2021 | 195 | 2021 |
| Batch effects and noise in microarray experiments: sources and solutions A Scherer Wiley, 2009 | 188 | 2009 |
| Evaluating the analytical validity of circulating tumor DNA sequencing assays for precision oncology IW Deveson, B Gong, K Lai, JS LoCoco, TA Richmond, J Schageman, ... Nature biotechnology 39 (9), 1115-1128, 2021 | 148 | 2021 |
| Early prognosis of the development of renal chronic allograft rejection by gene expression profiling of human protocol biopsies A Scherer, A Krause, JR Walker, A Korn, D Niese, F Raulf Transplantation 75 (8), 1323-1330, 2003 | 137 | 2003 |
| Exploration of databases and methods supporting drug repurposing: a comprehensive survey Z Tanoli, U Seemab, A Scherer, K Wennerberg, J Tang, M Vähä-Koskela Briefings in bioinformatics 22 (2), 1656-1678, 2021 | 95 | 2021 |
| Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing W Xiao, L Ren, Z Chen, LT Fang, Y Zhao, J Lack, M Guan, B Zhu, ... Nature biotechnology 39 (9), 1141-1150, 2021 | 77 | 2021 |
| Gene expression is differently affected by pimecrolimus and betamethasone in lesional skin of atopic dermatitis JM Jensen, A Scherer, C Wanke, M Bräutigam, S Bongiovanni, M Letzkus, ... Allergy 67 (3), 413-423, 2012 | 74 | 2012 |
| Predictive biomarkers for chronic allograft nephropathy A Scherer US Patent App. 12/295,298, 2010 | 74 | 2010 |
| Renal allografts with IF/TA display distinct expression profiles of metzincins and related genes S Rödder, A Scherer, F Raulf, CC Berthier, A Hertig, L Couzi, A Durrbach, ... American journal of transplantation 9 (3), 517-526, 2009 | 73 | 2009 |
| Calmodulin differentially modulates Smad1 and Smad2 signaling A Scherer, JM Graff Journal of Biological Chemistry 275 (52), 41430-41438, 2000 | 69 | 2000 |
| Transcriptome sequencing (RNAseq) enables utilization of formalin-fixed, paraffin-embedded biopsies with clear cell renal cell carcinoma for exploration of disease biology and … O Eikrem, C Beisland, K Hjelle, A Flatberg, A Scherer, L Landolt, ... PloS one 11 (2), e0149743, 2016 | 65 | 2016 |
| Bridging the translational innovation gap through good biomarker practice AJ van Gool, F Bietrix, E Caldenhoven, K Zatloukal, A Scherer, JE Litton, ... Nature Reviews Drug Discovery 16 (9), 587-588, 2017 | 62 | 2017 |
| Optimized protocol for linear RNA amplification and application to gene expression profiling of human renal biopsies A Scherer, A Krause, JR Walker, SE Sutton, D Seron, F Raulf, MP Cooke Biotechniques 34 (3), 546-556, 2003 | 58 | 2003 |
| Transcriptome changes in renal allograft protocol biopsies at 3 months precede the onset of interstitial fibrosis/tubular atrophy (IF/TA) at 6 months A Scherer, W Gwinner, M Mengel, T Kirsch, F Raulf, JD Szustakowski, ... Nephrology Dialysis Transplantation 24 (8), 2567-2575, 2009 | 52 | 2009 |
| MDQC: a new quality assessment method for microarrays based on quality control reports GV Cohen Freue, Z Hollander, E Shen, RH Zamar, R Balshaw, A Scherer, ... Bioinformatics 23 (23), 3162-3169, 2007 | 51 | 2007 |
| The MAQC-II Project: A comprehensive study of common practices for the development and validation of microarray-based predictive models. L Shi, G Campbell, W Jones, F Campagne, Z Wen, S Walker, Z Su, T Chu, ... Nature biotechnology 28 (8), 827-838, 2010 | 48 | 2010 |
