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21.
Pitea, A. et al.: Copy number aberrations from Affymetrix SNP 6.0 genotyping data-how accurate are commonly used prediction approaches? Brief. Bioinform. 21, 272-281 (2020)
22.
Ostaszewski, M.* et al.: Community-driven roadmap for integrated disease maps. Brief. Bioinform. 20, 659-670 (2019)
23.
Villmann, T.* ; Schleif, F.M.* ; Kostrzewa, M.* ; Walch, A.K. & Hammer, B.*: Classification of mass-spectrometric data in clinical proteomics using learning vector quantization methods. Brief. Bioinform. 9, 129-143 (2008)
24.
Yuille, M.* et al.: Biobanking for Europe. Brief. Bioinform. 9, 14-24 (2008)
25.
Mueller, J.C.: Linkage disequilibrium for different scales and applications. Brief. Bioinform. 5, 1-10 (2004)
26.
Werner, T.: The state of the art of mammalian promoter recognition. Brief. Bioinform. 4, 22-30 (2003)
27.
Hrabě de Angelis, M. & Strivens, M.*: Large-scale production of mouse phenotypes : the search for animal models for inherited diseases in humans. Brief. Bioinform. 2, 170-180 (2001)
28.
Werner, T.: Identification and functional modelling of DNA sequence elements of transcription. Brief. Bioinform. 1, 372-380 (2000)
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