Li, Y.* ; Hu, Q.* ; Han, S.* ; Wang-Sattler, R. & Du, W.* Multi-manifolds fusing hyperbolic graph network balanced by pareto optimization for identifying spatial domains of spatial transcriptomics. Brief. Bioinform. 26:bbaf162 (2025)
Grexa, I.* et al. SuperCUT, an unsupervised multimodal image registration with deep learning for biomedical microscopy. Brief. Bioinform. 25:bbae029 (2024)
Heylen, D.* et al. Synthetic plasma pool cohort correction for affinity-based proteomics datasets allows multiple study comparison. Brief. Bioinform. 26:bbae657 (2024)
Zahedi, R.P.* et al. Deep learning in spatially resolved transcriptfomics: A comprehensive technical view. Brief. Bioinform. 25:bbae082 (2024)
Henao, J. et al. Multi-omics regulatory network inference in the presence of missing data. Brief. Bioinform. 24:13 (2023)
Horlacher, M. et al. A systematic benchmark of machine learning methods for protein-RNA interaction prediction. Brief. Bioinform. 24:bbad307 (2023)
Wang, J.* ; Horlacher, M. ; Cheng, L.* & Winther, O.* RNA trafficking and subcellular localization-a review of mechanisms, experimental and predictive methodologies. Brief. Bioinform. 24:14 (2023)
Han, S. et al. TIGER: Technical variation elimination for metabolomics data using ensemble learning architecture. Brief. Bioinform. 23:bbab535 (2022)
Jeong, Y.* et al. Systematic evaluation of cell-type deconvolution pipelines for sequencing-based bulk DNA methylomes. Brief. Bioinform. 23:bbac248 (2022)
Villaverde, A.F.* ; Pathirana, D.* ; Fröhlich, F. ; Hasenauer, J.* & Banga, J.R.* A protocol for dynamic model calibration. Brief. Bioinform. 23:bbab387 (2022)
Deutelmoser, H.* et al. Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data. Brief. Bioinform. 22:bbaa230 (2021)
Peschel, S. ; Müller, C.L. ; von Mutius, E. ; Boulesteix, A.L.* & Depner, M. NetCoMi: Network construction and comparison for microbiome data in R. Brief. Bioinform. 22, DOI: 10.1093/bib/bbaa290 (2021)
Guala, D.* ; Ogris, C. ; Müller, N.S. & Sonnhammer, E.L.L.* Genome-wide functional association networks: Background, data & state-of-the-art resources. Brief. Bioinform. 21, 1224-1237 (2020)
Hoksza, D.* ; Gawron, P.* ; Ostaszewski, M.* ; Hasenauer, J. & Schneider, R.* Closing the gap between formats for storing layout information in systems biology. Brief. Bioinform. 21, 1249-1260 (2020)
Hoksza, D.* ; Gawron, P.* ; Ostaszewski, M.* ; Hasenauer, J. & Schneider, R.* Closing the gap between formats for storing layout information in systems biology. Brief. Bioinform. 22, 608 (2020)
Omony, J. ; Nussbaumer, T. & Gutzat, R.* DNA methylation analysis in plants: review of computational tools and future perspectives. Brief. Bioinform. 21, 906-918 (2020)
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)
Ostaszewski, M.* et al. Community-driven roadmap for integrated disease maps. Brief. Bioinform. 20, 659-670 (2019)
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)
Yuille, M.* et al. Biobanking for Europe. Brief. Bioinform. 9, 14-24 (2008)
Mueller, J.C. Linkage disequilibrium for different scales and applications. Brief. Bioinform. 5, 1-10 (2004)
Werner, T. The state of the art of mammalian promoter recognition. Brief. Bioinform. 4, 22-30 (2003)
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)
Werner, T. Identification and functional modelling of DNA sequence elements of transcription. Brief. Bioinform. 1, 372-380 (2000)