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ORCIDGabriele Beate Schweikert
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- affiliation: University of Edinburgh, School of Informatics, UK
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2020 – today
- 2024
[j7]Giovanni Visonà
, Emmanuelle Bouzigon, Florence Demenais, Gabriele Beate Schweikert:
Network propagation for GWAS analysis: a practical guide to leveraging molecular networks for disease gene discovery. Briefings Bioinform. 25(2) (2024)- 2023
- [j6]Luca Malinverno, Vesna Barros, Francesco Ghisoni, Giovanni Visonà, Roman Kern, Philip J. Nickel, Barbara Elvira Ventura, Ilija Simic, Sarah Stryeck, Francesca Manni, César Ferri, Claire Jean-Quartier, Laura Genga, Gabriele Beate Schweikert, Mario Lovric, Michal Rosen-Zvi:
A historical perspective of biomedical explainable AI research. Patterns 4(9): 100830 (2023)
2010 – 2019
- 2016
- [j5]Saulius Lukauskas, Roberto Visintainer, Guido Sanguinetti, Gabriele Beate Schweikert:
DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks. BMC Bioinform. 17(S-16): 53-63 (2016) - 2015
- [j4]Tom R. Mayo, Gabriele Beate Schweikert, Guido Sanguinetti:
M3D: a kernel-based test for spatially correlated changes in methylation profiles. Bioinform. 31(6): 809-816 (2015) - 2010
- [b1]Gabriele Beate Schweikert:
Accurate prediction of protein-coding genes with discriminative learning techniques. Berlin Institute of Technology, 2010 - [j3]Jonas Behr, Regina Bohnert, Georg Zeller, Gabriele Beate Schweikert, Lisa Hartmann, Gunnar Rätsch:
Next generation genome annotation with mGene.ngs. BMC Bioinform. 11(S-10): O8 (2010)
2000 – 2009
- 2009
- [j2]Gabriele Beate Schweikert, Jonas Behr, Alexander Zien, Georg Zeller, Cheng Soon Ong, Sören Sonnenburg, Gunnar Rätsch:
mGene.web: a web service for accurate computational gene finding. Nucleic Acids Res. 37(Web-Server-Issue): 312-316 (2009) - 2008
- [c1]Gabriele Beate Schweikert, Christian Widmer, Bernhard Schölkopf, Gunnar Rätsch:
An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. NIPS 2008: 1433-1440 - 2007
- [j1]Sören Sonnenburg, Gabriele Beate Schweikert, Petra Philips, Jonas Behr, Gunnar Rätsch:
Accurate splice site prediction using support vector machines. BMC Bioinform. 8(S-10) (2007)
Coauthor Index
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