SCI: A Tool for Interactive Web-Based Single Cell RNA-Seq Data Analysis

摘要

Single cell RNA-seq (scRNA-Seq) is critical for studying cellular function and phenotypic heterogeneity as well as the development of tissues and tumors. The tool implements a novel method of selecting informative genes based on Term-Frequency Inverse-Document-Frequency (TF-IDF) scores and provides a broad range of methods for cell clustering, differential expression, gene enrichment, interactive visualization, and cell cycle analysis. In just a few steps, researchers can generate a comprehensive initial analysis and gain powerful insights from their single cell RNA-seq data.