Mar 27, 2017 · Single-cell consensus clustering (SC3) provides user-friendly, robust and accurate cell clustering as well as downstream analysis for single-cell RNA-seq data.

Q: What is this? A: SC3 is a tool for the unsupervised clustering of cells from single cell RNA-Seq experiments. SC3 main page is on BioConductor. Q: How to install/run SC3? A: Please follow …

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Consensus matrix is calculated using the Cluster-based Similarity Partitioning Algorithm (CSPA). For each clustering solution a binary similarity matrix is constructed from the corresponding …

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We present Single-Cell Consensus Clustering (SC3), a user-friendly tool for unsupervised clustering which achieves high accuracy and robustness by combining multiple clustering …

SC3 is a method for unsupervised clustering of single-cell RNA-seq data. In addition to a graphical user-interface, SC3 provides additional information about potential outliers and marker genes …

Q: What is this? A: SC3 is a tool for the unsupervised clustering of cells from single cell RNA-Seq experiments. SC3 main page is on BioConductor. Q: How to install/run SC3? A: Please follow …

SC3s, or Single Cell Consensus Clustering with speed, is a package for the unsupervised clustering of single cell datasets. It is an updated version of SC3, now reimplemented in Python, …