Deep learning–based cell composition analysis from tissue expression profiles

Bulk tissue cell type deconvolution with multi-subject single-cell expression reference

(2019) Xuran Wang et al.   Nature Communications

RNA-Seq Signatures Normalized by mRNA Abundance Allow Absolute Deconvolution of Human Immune Cell Types

(2019) Gianni Monaco et al.   Cell Reports

Cell composition analysis of bulk genomics using single-cell data

(2019) Amit Frishberg et al.   NATURE METHODS

Determining cell type abundance and expression from bulk tissues with digital cytometry

(2019) Aaron M. Newman et al.   NATURE BIOTECHNOLOGY

Computational deconvolution of transcriptomics data from mixed cell populations

(2018) Francisco Avila Cobos et al.   BIOINFORMATICS

Religious Orders Study and Rush Memory and Aging Project

(2018) David A. Bennett et al.   JOURNAL OF ALZHEIMERS DISEASE

Molecular Architecture of the Mouse Nervous System

(2018) Amit Zeisel et al.   CELL

Variation among intact tissue samples reveals the core transcriptional features of human CNS cell classes

(2018) Kevin W. Kelley et al.   NATURE NEUROSCIENCE

Single-cell transcriptomics of 20 mouse organs creates a Tabula Muris

(2018) et al.   NATURE

Leveraging heterogeneity across multiple datasets increases cell-mixture deconvolution accuracy and reduces biological and technical biases

(2018) Francesco Vallania et al.   Nature Communications

A molecular census of arcuate hypothalamus and median eminence cell types

(2017) John N Campbell et al.   NATURE NEUROSCIENCE

A Critical Survey of Deconvolution Methods for Separating Cell Types in Complex Tissues

(2017) Shahin Mohammadi et al.   PROCEEDINGS OF THE IEEE

Estimation of immune cell content in tumour tissue using single-cell RNA-seq data

(2017) Max Schelker et al.   Nature Communications

Single-Cell RNA-Seq Reveals Hypothalamic Cell Diversity

(2017) Renchao Chen et al.   Cell Reports

RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes

(2016) Yurong Xin et al.   Cell Metabolism

Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes

(2016) Åsa Segerstolpe et al.   Cell Metabolism

Molecular interrogation of hypothalamic organization reveals distinct dopamine neuronal subtypes

(2016) Roman A Romanov et al.   NATURE NEUROSCIENCE

Adult mouse cortical cell taxonomy revealed by single cell transcriptomics

(2016) Bosiljka Tasic et al.   NATURE NEUROSCIENCE

System-Wide Associations between DNA-Methylation, Gene Expression, and Humoral Immune Response to Influenza Vaccination

(2016) Michael T. Zimmermann et al.   PLoS One

Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain

(2016) B. B. Lake et al.   SCIENCE

RNA-Seq methods for transcriptome analysis

(2016) Radmila Hrdlickova et al.   Wiley Interdisciplinary Reviews-RNA

A Single-Cell Transcriptomic Map of the Human and Mouse Pancreas Reveals Inter- and Intra-cell Population Structure

(2016) Maayan Baron et al.   Cell Systems

Spatial reconstruction of single-cell gene expression data

(2015) Rahul Satija et al.   NATURE BIOTECHNOLOGY

Robust enumeration of cell subsets from tissue expression profiles

(2015) Aaron M Newman et al.   NATURE METHODS

A survey of human brain transcriptome diversity at the single cell level

(2015) Spyros Darmanis et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Single-cell sequencing-based technologies will revolutionize whole-organism science

(2013) Ehud Shapiro et al.   NATURE REVIEWS GENETICS

Population-specific expression analysis (PSEA) reveals molecular changes in diseased brain

(2011) Alexandre Kuhn et al.   NATURE METHODS

Tumors as Organs: Complex Tissues that Interface with the Entire Organism

(2010) Mikala Egeblad et al.   DEVELOPMENTAL CELL