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1.
Grexa, I.* et al.: SuperCUT, an unsupervised multimodal image registration with deep learning for biomedical microscopy. Brief. Bioinform. 25:bbae029 (2024)
2.
Heylen, D.* et al.: Synthetic plasma pool cohort correction for affinity-based proteomics datasets allows multiple study comparison. Brief. Bioinform. 26:bbae657 (2024)
3.
Zahedi, R.P.* et al.: Deep learning in spatially resolved transcriptfomics: A comprehensive technical view. Brief. Bioinform. 25:bbae082 (2024)
4.
Henao, J. et al.: Multi-omics regulatory network inference in the presence of missing data. Brief. Bioinform. 24:13 (2023)
5.
Horlacher, M. et al.: A systematic benchmark of machine learning methods for protein-RNA interaction prediction. Brief. Bioinform. 24:bbad307 (2023)
6.
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)
7.
Han, S. et al.: TIGER: Technical variation elimination for metabolomics data using ensemble learning architecture. Brief. Bioinform. 23:bbab535 (2022)
8.
Jeong, Y.* et al.: Systematic evaluation of cell-type deconvolution pipelines for sequencing-based bulk DNA methylomes. Brief. Bioinform. 23:bbac248 (2022)
9.
Villaverde, A.F.* ; Pathirana, D.* ; Fröhlich, F. ; Hasenauer, J.* & Banga, J.R.*: A protocol for dynamic model calibration. Brief. Bioinform. 23:bbab387 (2022)
10.
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)
11.
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)
12.
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)
13.
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)
14.
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)
15.
Omony, J. ; Nussbaumer, T. & Gutzat, R.*: DNA methylation analysis in plants: review of computational tools and future perspectives. Brief. Bioinform. 21, 906-918 (2020)
16.
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)
17.
Ostaszewski, M.* et al.: Community-driven roadmap for integrated disease maps. Brief. Bioinform. 20, 659-670 (2019)
18.
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)
19.
Yuille, M.* et al.: Biobanking for Europe. Brief. Bioinform. 9, 14-24 (2008)
20.
Mueller, J.C.: Linkage disequilibrium for different scales and applications. Brief. Bioinform. 5, 1-10 (2004)
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