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 …

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 …

Interactive tool for clustering and analysis of single cell RNA-Seq data.

Single-Cell Consensus Clustering (SC3) is a tool for unsupervised clustering of scRNA-seq data. SC3 achieves high accuracy and robustness by consistently integrating different clustering...

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

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 …

Dec 12, 2022 · SC3s takes as input the gene-by-cell expression matrix, after preprocessing and dimensionality reduction via PCA using Scanpy commands. To achieve consensus clustering, …

We present Single Cell Consensus Clustering (SC3), a tool for unsupervised clustering of scRNA seq data. SC3 achieves high accuracy and robustness by consistently integrating different …

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 …