Structure-preserving visualisation of high dimensional single-cell datasets

Predicting survival times for neuroblastoma patients using RNA-seq expression profiles

(2018) Tyler Grimes et al.   Biology Direct

Immune cell census in murine atherosclerosis: cytometry by time of flight illuminates vascular myeloid cell diversity

(2018) Jennifer E Cole et al.   CARDIOVASCULAR RESEARCH

Identifying Medical Diagnoses and Treatable Diseases by Image-Based Deep Learning

(2018) Daniel S. Kermany et al.   CELL

Single-Cell RNA-Seq Reveals the Transcriptional Landscape and Heterogeneity of Aortic Macrophages in Murine AtherosclerosisNovelty and Significance

(2018) Clément Cochain et al.   CIRCULATION RESEARCH

Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis

(2018) Peter Savas et al.   NATURE MEDICINE

Phenotype molding of stromal cells in the lung tumor microenvironment

(2018) Diether Lambrechts et al.   NATURE MEDICINE

High-dimensional single-cell analysis predicts response to anti-PD-1 immunotherapy

(2018) Carsten Krieg et al.   NATURE MEDICINE

Single-cell transcriptomics of the mouse kidney reveals potential cellular targets of kidney disease

(2018) Jihwan Park et al.   SCIENCE

Interpretable dimensionality reduction of single cell transcriptome data with deep generative models

(2018) Jiarui Ding et al.   Nature Communications

Dermatologist-level classification of skin cancer with deep neural networks

(2017) Andre Esteva et al.   NATURE

High-resolution myogenic lineage mapping by single-cell mass cytometry

(2017) Ermelinda Porpiglia et al.   NATURE CELL BIOLOGY

Visualization and analysis of single-cell RNA-seq data by kernel-based similarity learning

(2017) Bo Wang et al.   NATURE METHODS

Using neural networks for reducing the dimensions of single-cell RNA-Seq data

(2017) Chieh Lin et al.   NUCLEIC ACIDS RESEARCH

Mass Cytometry: Single Cells, Many Features

(2016) Matthew H. Spitzer et al.   CELL

Comprehensive Classification of Retinal Bipolar Neurons by Single-Cell Transcriptomics

(2016) Karthik Shekhar et al.   CELL

Revealing the vectors of cellular identity with single-cell genomics

(2016) Allon Wagner et al.   NATURE BIOTECHNOLOGY

Automated mapping of phenotype space with single-cell data

(2016) Nikolay Samusik et al.   NATURE METHODS

Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq

(2016) I. Tirosh et al.   SCIENCE

Div-Seq: Single-nucleus RNA-Seq reveals dynamics of rare adult newborn neurons

(2016) Naomi Habib et al.   SCIENCE

Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis

(2015) Jacob H. Levine et al.   CELL

Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq

(2015) A. Zeisel et al.   SCIENCE

Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma

(2014) A. P. Patel et al.   SCIENCE

viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia

(2013) El-ad David Amir et al.   NATURE BIOTECHNOLOGY

Accounting for technical noise in single-cell RNA-seq experiments

(2013) Philip Brennecke et al.   NATURE METHODS

Dissecting genomic diversity, one cell at a time

(2013) Paul C Blainey et al.   NATURE METHODS

Entering the era of single-cell transcriptomics in biology and medicine

(2013) Rickard Sandberg   NATURE METHODS

The promise of single-cell sequencing

(2013) James Eberwine et al.   NATURE METHODS

Single-Cell Metabolomics: Analytical and Biological Perspectives

(2013) R. Zenobi   SCIENCE

Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum

(2011) S. C. Bendall et al.   SCIENCE

A generalization of the Kullback–Leibler divergence and its properties

(2009) Takuya Yamano   JOURNAL OF MATHEMATICAL PHYSICS

The interactions and dissociations of the dorsal hippocampus subregions: How the dentate gyrus, CA3, and CA1 process spatial information.

(2008) Naomi J. Goodrich-Hunsaker et al.   BEHAVIORAL NEUROSCIENCE