Combination of text-mining algorithms increases the performance. - Rainer Malik; Lude Franke; Arno Siebes (Bioinform., 2006)

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)

Gene co-expression analysis for functional classification and gene-disease predictions. - Sipko van Dam; Urmo Võsa; Adriaan van der Graaf; Lude Franke; João Pedro de Magalhães (Briefings Bioinform., 2018)

Deconvolution of bulk blood eQTL effects into immune cell subpopulations. - Raúl Aguirre-Gamboa; Niek de Klein; Jennifer di Tommaso; Annique Claringbould; Monique G. P. van der Wijst; Dylan de Vries; Harm Brugge; Roy Oelen; Urmo Võsa; Maria M. Zorro; Xiaojin Chu; Olivier B. Bakker; et al. (BMC Bioinform., 2020)

Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores. - Robert Warmerdam; Pauline Lanting; Patrick Deelen; Lude Franke (Bioinform., 2022)

Semi-automatic translation of medicine usage data (in Dutch, free-text) from Lifelines COVID-19 questionnaires to ATC codes. - Alexander Kellmann; Pauline Lanting; Lude Franke; David van Enckevort; Morris A. Swertz (Database J. Biol. Databases Curation, 2023)

Genome-wide Studies Reveal Genetic Risk Factors for Hepatic Fat Content. - Yanni Li; Eline H. van den Berg; Alexander Kurilshikov; Dasha V. Zhernakova; Ranko Gacesa; Shixian Hu; Esteban A. Lopera-Maya; Alexandra Zhernakova; Raúl Aguirre-Gamboa; Patrick Deelen; Lude Franke; Jan A. Kuivenhoven; et al. (Genom. Proteom. Bioinform., 2024)