MixupMapper: correcting sample mix-ups in genome-wide datasets increases power to detect small genetic effects. - Harm-Jan Westra; Ritsert C. Jansen; Rudolf S. N. Fehrmann; Gerard J. te Meerman; David van Heel; Cisca Wijmenga; Lude Franke (Bioinform., 2011)

Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data. - S. R. Oshternian; S. Loipfinger; A. Bhattacharya; Rudolf S. N. Fehrmann (BMC Bioinform., 2024)