GiniClust2: a cluster-aware, weighted ensemble clustering method for cell-type detection

References 27

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    GiniClust: detecting rare cell types from single-cell gene expression data with Gini index · 2016

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Cited by papers we hold 9

• Nonnegative spatial factorization applied to spatial genomics · 2022
  No notice
• Spatial omics: Navigating to the golden era of cancer research · 2022
  No notice
• BASS: multi-scale and multi-sample analysis enables accurate cell type clustering and spatial domain detection in spatial transcriptomic studies · 2022
  No notice
• scDesign2: a transparent simulator that generates high-fidelity single-cell gene expression count data with gene correlations captured · 2021
  Corrected
• An entropy-based metric for assessing the purity of single cell populations · 2020
  No notice
• Single-cell trajectories reconstruction, exploration and mapping of omics data with STREAM · 2019
  No notice
• Accurate estimation of cell-type composition from gene expression data · 2019
  No notice
• Assessment of computational methods for the analysis of single-cell ATAC-seq data · 2019
  No notice
• Understanding tumor ecosystems by single-cell sequencing: promises and limitations · 2018
  No notice

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