APCluster: an R package for affinity propagation clustering

By Ulrich Bodenhofer, Andreas Kothmeier, Sepp Hochreiter. Bioinform., 2011

467 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/8dd0ea4d3b885704e480af019efdbec0298662c7

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In Molecular Biology

1. Marta Rueda
2. M. Rodríguez
3. B. Hawkins
4. Mark A. Hindell

Citations in the corpus

• Identifying global zoogeographical regions: lessons from Wallace (2013, methodology): “For this first AP analysis we used the R package APCluster (Bodenhofer et al., 2011), setting the preference value as the median of the pairwise similarities.”
• Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images (2018, unknown): “To identify such patterns, we first used affin-itypropagation(FreyandDueck,2007)tofindspatiallyconnected and coherent regions (clusters) of TIL image patches ( APCluster R package; Bodenhofer et al., 2011).”
• Habitat modelling of tracking data from multiple marine predators identifies important areas in the Southern Indian Ocean (2018, methodology): “To evaluate which species showed similar habitat preferences, we used affinity propagation clustering (Frey & Dueck 2007) to identify the number and composition of clusters (‘apcluster’ package; Bodenhofer et al. 2011).”