Common sequence polymorphisms shaping genetic diversity in Arabidopsis thaliana RM Clark, G Schweikert, C Toomajian, S Ossowski, G Zeller, P Shinn, ... Science 317 (5836), 338, 2007 | 860 | 2007 |
Accurate splice site prediction using support vector machines S Sonnenburg, G Schweikert, P Philips, J Behr, G Rätsch BMC bioinformatics 8 (Suppl 10), S7, 2007 | 248 | 2007 |
An empirical analysis of domain adaptation algorithms G Schweikert, C Widmer, B Schölkopf, G Rätsch Advances in Neural Information Processing System, NIPS, Volume, 2008 | 192* | 2008 |
mGene: Accurate SVM-based gene finding with an application to nematode genomes G Schweikert, A Zien, G Zeller, J Behr, C Dieterich, CS Ong, P Philips, ... Genome research 19 (11), 2133-2143, 2009 | 125 | 2009 |
MeCP2 recognizes cytosine methylated tri-nucleotide and di-nucleotide sequences to tune transcription in the mammalian brain S Lagger, JC Connelly, G Schweikert, S Webb, J Selfridge, ... PLoS genetics 13 (5), e1006793, 2017 | 123 | 2017 |
Morphological characterization of molecular complexes present in the synaptic cleft V Lucˇic, T Yang, G Schweikert, F Förster, W Baumeister Structure 13 (3), 423-434, 2005 | 118 | 2005 |
nGASP: the nematode genome annotation assessment project A Coghlan, TJ Fiedler, SJ McKay, P Flick, TW Harris, D Blasiar, ... BMC Bioinformatics 9 (1), 549, 2008 | 82 | 2008 |
Kinetic CRAC uncovers a role for Nab3 in determining gene expression profiles during stress R Van Nues, G Schweikert, E De Leau, A Selega, A Langford, R Franklin, ... Nature communications 8 (1), 12, 2017 | 60 | 2017 |
MMDiff: quantitative testing for shape changes in ChIP-Seq data sets G Schweikert, B Cseke, T Clouaire, A Bird, G Sanguinetti BMC genomics 14, 1-17, 2013 | 52 | 2013 |
mRNA cap methyltransferase, RNMT-RAM, promotes RNA Pol II-dependent transcription D Varshney, O Lombardi, G Schweikert, S Dunn, O Suska, VH Cowling Cell reports 23 (5), 1530-1542, 2018 | 41 | 2018 |
M3D: a kernel-based test for spatially correlated changes in methylation profiles TR Mayo, G Schweikert, G Sanguinetti Bioinformatics 31 (6), 809-816, 2015 | 37 | 2015 |
mGene.web: a web service for accurate computational gene finding G Schweikert, J Behr, A Zien, G Zeller, CS Ong, S Sonnenburg, G Rätsch Nucleic acids research 37 (suppl_2), W312-W316, 2009 | 32 | 2009 |
Acute depletion of the ARID1A subunit of SWI/SNF complexes reveals distinct pathways for activation and repression of transcription S Blümli, N Wiechens, MY Wu, V Singh, M Gierlinski, G Schweikert, ... Cell reports 37 (5), 2021 | 28 | 2021 |
Mimicking tumor cell heterogeneity of colorectal cancer in a patient-derived organoid-fibroblast model VS Atanasova, C de Jesus Cardona, V Hejret, A Tiefenbacher, T Mair, ... Cellular and Molecular Gastroenterology and Hepatology 15 (6), 1391-1419, 2023 | 15 | 2023 |
Next generation genome annotation with mGene. ngs J Behr, R Bohnert, G Zeller, G Schweikert, L Hartmann, G Rätsch BMC bioinformatics 11, 1-2, 2010 | 13 | 2010 |
The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles J Schreiber, C Boix, J wook Lee, H Li, Y Guan, CC Chang, JC Chang, ... Genome biology 24 (1), 79, 2023 | 9 | 2023 |
DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks S Lukauskas, R Visintainer, G Sanguinetti, GB Schweikert BMC bioinformatics 17, 53-63, 2016 | 8 | 2016 |
A historical perspective of biomedical explainable AI research L Malinverno, V Barros, F Ghisoni, G Visonà, R Kern, PJ Nickel, ... Patterns 4 (9), 2023 | 6* | 2023 |
Requirement of DNMT1 to orchestrate epigenomic reprogramming for NPM-ALK–driven lymphomagenesis E Redl, R Sheibani-Tezerji, C de Jesus Cardona, P Hamminger, ... Life Science Alliance 4 (2), 2021 | 6 | 2021 |
Getting personal with epigenetics: towards individual-specific epigenomic imputation with machine learning A Hawkins-Hooker, G Visonà, T Narendra, M Rojas-Carulla, B Schölkopf, ... Nature Communications 14 (1), 4750, 2023 | 4* | 2023 |