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@@ -237,9 +237,9 @@ <h5>People</h5>
     <h5>Publications</h5>
     Tanevski, J., Vuillard, L., Hartmann, F., Saez-Rodriguez, J. <a href="https://doi.org/10.1101/2024.03.06.583691" target="_blank">Learning tissue representation by identification of persistent local patterns in spatial omics data</a>. bioRxiv:2024.03.06.583691 (2024).
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-    Rahimi, A., Vale-Silva, L.A., Faelth Savitski, M., Tanevski, J., Saez-Rodriguez, J. <a href="https://doi.org/10.1038/s41467-024-48868-z" target="_blank">DOT: a flexible multi-objective optimization framework for transferring features across single-cell and spatial omics</a>. Nature Communications (2024).
+    Rahimi, A., Vale-Silva, L.A., Faelth Savitski, M., Tanevski, J., Saez-Rodriguez, J. <a href="https://doi.org/10.1038/s41467-024-48868-z" target="_blank">DOT: a flexible multi-objective optimization framework for transferring features across single-cell and spatial omics</a>. Nature Communications 15 (2024).
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-    Dimitrov, D., Schäfer, P.S.L., Farr, E., et al. <a href="https://doi.org/10.1101/2023.08.19.553863" target="_blank">LIANA+: an all-in-one cell-cell communication framework</a>. Nature Cell Biology (2024).
+    Dimitrov, D., Schäfer, P.S.L., Farr, E., et al. <a href="https://doi.org/10.1038/s41556-024-01469-w" target="_blank">LIANA+: an all-in-one cell-cell communication framework</a>. Nature Cell Biology (2024).
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     Laury, A. R., Zheng, S., Aho, N. et al. <a href="https://doi.org/10.1016/j.modpat.2024.100508" target ="_blank">Opening the black box: spatial transcriptomics and the relevance of AI-detected prognostic regions in high grade serous carcinoma</a>. Modern Pathology 100508 (2024).
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