Publication: Probabilistic pathway-based multimodal factor analysis
Probabilistic pathway-based multimodal factor analysis
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Immer, A., Stark, S. G., Jacob, F., Bonilla, X., Thomas, T., Kahles, A., Goetze, S., Milani, E. S., Wollscheid, B., Aebersold, R., Ak, M., Al-Quaddoomi, F. S., Albert, S. I., Albinus, J., Alborelli, I., Andani, S., Attinger, P.-O., Bacac, M., Baumhoer, D., … Pelkmans, L. (2024). Probabilistic pathway-based multimodal factor analysis. Bioinformatics, 40(Suppl 1), i189–i198. https://doi.org/10.1093/bioinformatics/btae216
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Motivation: Multimodal profiling strategies promise to produce more informative insights into biomedical cohorts via the integration of the information each modality contributes. To perform this integration, however, the development of novel analytical strategies is needed. Multimodal profiling strategies often come at the expense of lower sample numbers, which can challenge methods to uncover shared signals across a cohort. Thus, factor analysis approaches are commonly used for the analysis of high-dimensional data in molecular biolo
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Immer, A., Stark, S. G., Jacob, F., Bonilla, X., Thomas, T., Kahles, A., Goetze, S., Milani, E. S., Wollscheid, B., Aebersold, R., Ak, M., Al-Quaddoomi, F. S., Albert, S. I., Albinus, J., Alborelli, I., Andani, S., Attinger, P.-O., Bacac, M., Baumhoer, D., … Pelkmans, L. (2024). Probabilistic pathway-based multimodal factor analysis. Bioinformatics, 40(Suppl 1), i189–i198. https://doi.org/10.1093/bioinformatics/btae216