Gene selection for optimal prediction of cell position in tissues from single-cell transcriptomics data

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

(2019) Samuel G. Rodriques et al.   SCIENCE

Optimal Decoding of Cellular Identities in a Genetic Network

(2019) Mariela D. Petkova et al.   CELL

Comprehensive Integration of Single-Cell Data

(2019) Tim Stuart et al.   CELL

Gene expression atlas of a developing tissue by single cell expression correlation analysis

(2019) Josephine Bageritz et al.   NATURE METHODS

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

(2019) Michael P. Menden et al.   Nature Communications

Gene expression cartography

(2019) Mor Nitzan et al.   NATURE

Multiclonal Invasion in Breast Tumors Identified by Topographic Single Cell Sequencing

(2018) Anna K. Casasent et al.   CELL

Single-cell spatial reconstruction reveals global division of labour in the mammalian liver

(2017) Keren Bahar Halpern et al.   NATURE

TheDrosophilaembryo at single-cell transcriptome resolution

(2017) Nikos Karaiskos et al.   SCIENCE

Crowdsourcing biomedical research: leveraging communities as innovation engines

(2016) Julio Saez-Rodriguez et al.   NATURE REVIEWS GENETICS

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

(2016) P. L. Stahl et al.   SCIENCE

Spatial reconstruction of single-cell gene expression data

(2015) Rahul Satija et al.   NATURE BIOTECHNOLOGY

High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin

(2015) Kaia Achim et al.   NATURE BIOTECHNOLOGY

Bayesian approach to single-cell differential expression analysis

(2014) Peter V Kharchenko et al.   NATURE METHODS

Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue

(2014) Ditte Lovatt et al.   NATURE METHODS

Positional information, in bits

(2013) J. O. Dubuis et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Wisdom of crowds for robust gene network inference

(2012) Daniel Marbach et al.   NATURE METHODS

ZFIN, the Zebrafish Model Organism Database: increased support for mutants and transgenics

(2012) Douglas G. Howe et al.   NUCLEIC ACIDS RESEARCH

Multiobjective evolutionary algorithms to identify highly autocorrelated areas: the case of spatial distribution in financially compromised farms

(2011) Carlos R. García-Alonso et al.   ANNALS OF OPERATIONS RESEARCH

Developmental roles of 21 Drosophila transcription factors are determined by quantitative differences in binding to an overlapping set of thousands of genomic regions

(2009) Stewart MacArthur et al.   GENOME BIOLOGY

A Quantitative Spatiotemporal Atlas of Gene Expression in the Drosophila Blastoderm

(2008) Charless C. Fowlkes et al.   CELL