Investigating how reproducibility and geometrical representation in umap dimensionality reduction impact the stratification of breast cancer tumors

HIGHLIGHTS

  • who: Jordy Bollon et al. from the , Nus, Italy have published the article: Investigating How Reproducibility and Geometrical Representation in UMAP Dimensionality Reduction Impact the Stratification of Breast Cancer Tumors, in the Journal: (JOURNAL) of 20/04/2022
  • what: For each NN, to obtain a robust clustering result and to quantify how frequently a sample was paired to another sample set, the authors propose a new pipeline of analysis that applies a clustering algorithm to T different UMAP embeddings, where T is the number of runs, and compacts all the HDBSCAN tumor groups into one . . .

     

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