2.7k citations · 2.7k across the 2 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.CB2020★ 2.7k cited
SARS-CoV-2 Entry Genes Are Most Highly Expressed in Nasal Goblet and Ciliated Cells within Human Airways
Waradon Sungnak, Ni Huang, Christophe Bécavin +2
The SARS-CoV-2 coronavirus, the etiologic agent responsible for COVID-19 coronavirus disease, is a global threat. To better understand viral tropism, we assessed the RNA expression…