| Clustering cancer gene expression data: a comparative study MCP De Souto, IG Costa, DSA de Araujo, TB Ludermir, A Schliep BMC bioinformatics 9 (1), 1-14, 2008 | 510 | 2008 |
| Using hidden Markov models to analyze gene expression time course data A Schliep, A Schönhuth, C Steinhoff Bioinformatics 19 (suppl_1), i255-i263, 2003 | 339 | 2003 |
| Selecting signature oligonucleotides to identify organisms using DNA arrays L Kaderali, A Schliep Bioinformatics 18 (10), 1340-1349, 2002 | 159 | 2002 |
| The Global Museum: natural history collections and the future of evolutionary science and public education FT Bakker, A Antonelli, JA Clarke, JA Cook, SV Edwards, PGP Ericson, ... PeerJ 8, e8225, 2020 | 131 | 2020 |
| ProClust: improved clustering of protein sequences with an extended graph-based approach P Pipenbacher, A Schliep, S Schneckener, A Schönhuth, D Schomburg, ... Bioinformatics 18 (suppl_2), S182-S191, 2002 | 119 | 2002 |
| Clustering protein sequences—structure prediction by transitive homology E Bolten, A Schliep, S Schneckener, D Schomburg, R Schrader Bioinformatics 17 (10), 935-941, 2001 | 117 | 2001 |
| Embracing heterogeneity: coalescing the Tree of Life and the future of phylogenomics GA Bravo, A Antonelli, CD Bacon, K Bartoszek, MPK Blom, S Huynh, ... PeerJ 7, e6399, 2019 | 112 | 2019 |
| CLEVER: clique-enumerating variant finder T Marschall, IG Costa, S Canzar, M Bauer, GW Klau, A Schliep, ... Bioinformatics 28 (22), 2875-2882, 2012 | 106 | 2012 |
| Ranking and selecting clustering algorithms using a meta-learning approach MCP De Souto, RBC Prudencio, RGF Soares, DSA De Araujo, IG Costa, ... 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 105 | 2008 |
| Analyzing gene expression time-courses A Schliep, IG Costa, C Steinhoff, A Schonhuth IEEE/ACM Transactions on computational biology and bioinformatics 2 (3), 179-193, 2005 | 98 | 2005 |
| Turtle: Identifying frequent k -mers with cache-efficient algorithms RS Roy, D Bhattacharya, A Schliep Bioinformatics 30 (14), 1950-1957, 2014 | 90 | 2014 |
| Blood glucose prediction with variance estimation using recurrent neural networks J Martinsson, A Schliep, B Eliasson, O Mogren Journal of Healthcare Informatics Research 4, 1-18, 2020 | 87 | 2020 |
| Group testing with DNA chips: generating designs and decoding experiments A Schliep, DC Torney, S Rahmann Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE …, 2003 | 78 | 2003 |
| Comparative study on normalization procedures for cluster analysis of gene expression datasets MCP De Souto, DSA De Araujo, IG Costa, RGF Soares, TB Ludermir, ... 2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008 | 68 | 2008 |
| Cognitive and brain development is independently influenced by socioeconomic status and polygenic scores for educational attainment N Judd, B Sauce, J Wiedenhoeft, J Tromp, B Chaarani, A Schliep, ... Proceedings of the National Academy of Sciences 117 (22), 12411-12418, 2020 | 65 | 2020 |
| Automatic blood glucose prediction with confidence using recurrent neural networks J Martinsson, A Schliep, B Eliasson, C Meijner, S Persson, O Mogren 3rd International Workshop on Knowledge Discovery in Healthcare Data, KDH …, 2018 | 55 | 2018 |
| Optimal robust non-unique probe selection using integer linear programming GW Klau, S Rahmann, A Schliep, M Vingron, K Reinert Bioinformatics 20 (suppl_1), i186-i193, 2004 | 53 | 2004 |
| Single cell genome analysis of an uncultured heterotrophic stramenopile RS Roy, DC Price, A Schliep, G Cai, A Korobeynikov, HS Yoon, EC Yang, ... Scientific reports 4 (1), 4780, 2014 | 49 | 2014 |
| Constrained mixture estimation for analysis and robust classification of clinical time series IG Costa, A Schönhuth, C Hafemeister, A Schliep Bioinformatics 25 (12), i6-i14, 2009 | 48 | 2009 |
| Robust inference of groups in gene expression time-courses using mixtures of HMMs A Schliep, C Steinhoff, A Schönhuth Bioinformatics 20 (suppl_1), i283-i289, 2004 | 48 | 2004 |
Ivan G. CostaProfessor, Institute of Computational Genomics, RWTH AachenBestätigte E-Mail-Adresse bei rwth-aachen.de
