3 citations · 3 across the 2 of their papers we have counts for
2 papers
q-bio.QM2024
Harnessing the Potential of Spatial Statistics for Spatial Omics Data with pasta
Martin Emons, Samuel Gunz, Helena L. Crowell +3
Spatial omics assays allow for the molecular characterisation of cells in their spatial context. Notably, the two main technological streams, imaging-based and high-throughput sequ…
cs.LG2024★ 3 cited
UnPaSt: unsupervised patient stratification by biclustering of omics data
Michael Hartung, Andreas Maier, Yuliya Burankova +25
Unsupervised patient stratification is essential for disease subtype discovery, yet, despite growing evidence of molecular heterogeneity of non-oncological diseases, popular method…