Accurate splice site prediction using support vector machines. - Sören Sonnenburg; Gabriele Beate Schweikert; Petra Philips; Jonas Behr; Gunnar Rätsch (BMC Bioinform., 2007)

An Empirical Analysis of Domain Adaptation Algorithms for Genomic Sequence Analysis. - Gabriele Beate Schweikert; Christian Widmer; Bernhard Schölkopf; Gunnar Rätsch (NIPS, 2008)

mGene.web: a web service for accurate computational gene finding. - Gabriele Beate Schweikert; Jonas Behr; Alexander Zien; Georg Zeller; Cheng Soon Ong; Sören Sonnenburg; Gunnar Rätsch (Nucleic Acids Res., 2009)

Next generation genome annotation with mGene.ngs. - Jonas Behr; Regina Bohnert; Georg Zeller; Gabriele Beate Schweikert; Lisa Hartmann; Gunnar Rätsch (BMC Bioinform., 2010)

Accurate prediction of protein-coding genes with discriminative learning techniques. - Gabriele Beate Schweikert (2010)

M3D: a kernel-based test for spatially correlated changes in methylation profiles. - Tom R. Mayo; Gabriele Beate Schweikert; Guido Sanguinetti (Bioinform., 2015)

DGW: an exploratory data analysis tool for clustering and visualisation of epigenomic marks. - Saulius Lukauskas; Roberto Visintainer; Guido Sanguinetti; Gabriele Beate Schweikert (BMC Bioinform., 2016)

A historical perspective of biomedical explainable AI research. - 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; et al. (Patterns, 2023)

Network propagation for GWAS analysis: a practical guide to leveraging molecular networks for disease gene discovery. - Giovanni Visonà; Emmanuelle Bouzigon; Florence Demenais; Gabriele Beate Schweikert (Briefings Bioinform., 2024)