Single-cell and spatial transcriptomics enables probabilistic inference of cell type topography

Integrating microarray-based spatial transcriptomics and single-cell RNA-seq reveals tissue architecture in pancreatic ductal adenocarcinomas

(2020) Reuben Moncada et al.   NATURE BIOTECHNOLOGY

Slide-seq: A scalable technology for measuring genome-wide expression at high spatial resolution

(2019) Samuel G. Rodriques et al.   SCIENCE

deconvSeq: Deconvolution of Cell Mixture Distribution in Sequencing Data

(2019) Rose Du et al.   BIOINFORMATICS

Accurate estimation of cell-type composition from gene expression data

(2019) Daphne Tsoucas et al.   Nature Communications

High-definition spatial transcriptomics for in situ tissue profiling

(2019) Sanja Vickovic et al.   NATURE METHODS

A Spatiotemporal Organ-Wide Gene Expression and Cell Atlas of the Developing Human Heart

(2019) Michaela Asp et al.   CELL

Single-Cell Transcriptomics and Fate Mapping of Ependymal Cells Reveals an Absence of Neural Stem Cell Function

(2018) Prajay T. Shah et al.   CELL

Spatial maps of prostate cancer transcriptomes reveal an unexplored landscape of heterogeneity

(2018) Emelie Berglund et al.   Nature Communications

Molecular Architecture of the Mouse Nervous System

(2018) Amit Zeisel et al.   CELL

Cell-Type-Specific Translation Profiling Reveals a Novel Strategy for Treating Fragile X Syndrome

(2017) Sophie R. Thomson et al.   NEURON

Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

(2016) P. L. Stahl et al.   SCIENCE

How to make a hippocampal dentate gyrus granule neuron

(2014) D. X. Yu et al.   DEVELOPMENT

Modeling Hippocampal Neurogenesis Using Human Pluripotent Stem Cells

(2014) Diana Xuan Yu et al.   Stem Cell Reports

Raxregulates hypothalamic tanycyte differentiation and barrier function in mice

(2013) Ana L. Miranda-Angulo et al.   JOURNAL OF COMPARATIVE NEUROLOGY

edgeR: a Bioconductor package for differential expression analysis of digital gene expression data

(2009) M. D. Robinson et al.   BIOINFORMATICS