Realistic in silico generation and augmentation of single-cell RNA-seq data using generative adversarial networks

Recovering Gene Interactions from Single-Cell Data Using Data Diffusion

(2018) David van Dijk et al.   CELL

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

Integrative omics for health and disease

(2018) Konrad J. Karczewski et al.   NATURE REVIEWS GENETICS

Scaling single-cell genomics from phenomenology to mechanism

(2017) Amos Tanay et al.   NATURE

Massively parallel digital transcriptional profiling of single cells

(2017) Grace X. Y. Zheng et al.   Nature Communications

Diffusion pseudotime robustly reconstructs lineage branching

(2016) Laleh Haghverdi et al.   NATURE METHODS

Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors

(2015) Franziska Paul et al.   CELL

Faster unfolding of communities: Speeding up the Louvain algorithm

(2015) V. A. Traag   PHYSICAL REVIEW E

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

(2015) A. Zeisel et al.   SCIENCE

ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software

(2014) Mathieu Jacomy et al.   PLoS One

Power failure: why small sample size undermines the reliability of neuroscience

(2013) Katherine S. Button et al.   NATURE REVIEWS NEUROSCIENCE

Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq

(2011) S. Islam et al.   GENOME RESEARCH

Emerging properties of animal gene regulatory networks

(2010) Eric H. Davidson   NATURE