Artifacts using SingleCellExperiment version 1.1.3-b2

A collection of tools for cancer single cell RNA-seq analysis. Cell clustering and feature gene selection analysis employ maximum likelihood and Bayesian non-negative matrix factorization algorithm. Input data set consists of RNA count matrix, gene, and cell bar code annotations. Analysis outputs are factor matrices for multiple ranks, quality measures (maximum likelihood) or evidence (Bayesian) with respect to rank. The package includes utilities for downstream analyses, including meta-gene ...

Provides functions for creating an interactive Shiny-based graphical user interface for exploring data stored in SummarizedExperiment objects, including row- and column-level metadata. Particular attention is given to single-cell data in a SingleCellExperiment object with visualization of dimensionality reduction results.