3 citations · 3 across the 1 of their papers we have counts for
2 papers
q-bio.QM2020★ 3 cited
Putative cell type discovery from single-cell gene expression data
Zhichao Miao, Pablo Moreno, Ni Huang +3
We present a novel method for automated identification of putative cell types from single-cell RNA-seq (scRNA-seq) data. By iteratively applying a machine learning approach to an i…
q-bio.GN2019
Guidelines for reporting single-cell RNA-Seq experiments
Anja Füllgrabe, Nancy George, Matthew Green +16
Single-cell RNA-Sequencing (scRNA-Seq) has undergone major technological advances in recent years, enabling the conception of various organism-level cell atlassing projects. With i…