about
Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues.Characterization of chromatin accessibility with a transposome hypersensitive sites sequencing (THS-seq) assay.Characterizing transcriptional heterogeneity through pathway and gene set overdispersion analysisNeuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain.A comparative strategy for single-nucleus and single-cell transcriptomes confirms accuracy in predicted cell-type expression from nuclear RNA.Stratifying tissue heterogeneity with scalable single-cell assays.Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain.Single-nucleus analysis of accessible chromatin in developing mouse forebrain reveals cell-type-specific transcriptional regulation.Author Correction: Single-nucleus analysis of accessible chromatin in developing mouse forebrain reveals cell-type-specific transcriptional regulation.Visualizing and Interpreting Single-Cell Gene Expression Datasets with Similarity Weighted Nonnegative EmbeddingDNA methylation identifies genetically and prognostically distinct subtypes of myelodysplastic syndromesReply to 'DNA methylation haplotypes as cancer markers'High-throughput sequencing of the transcriptome and chromatin accessibility in the same cellTools for the analysis of high-dimensional single-cell RNA sequencing dataPrecise in vivo genome editing via single homology arm donor mediated intron-targeting gene integration for genetic disease correctionA single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneysMapping Cellular Reprogramming via Pooled Overexpression Screens with Paired Fitness and Single-Cell RNA-Sequencing Readout
P50
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P50
description
researcher (ORCID 0000-0002-7596-5224)
@en
name
Kun Zhang
@en
type
label
Kun Zhang
@en
prefLabel
Kun Zhang
@en
P31
P496
0000-0002-7596-5224