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

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Spatial transcriptomics levels up

(2019) Alfredo Sansone   NATURE METHODS

Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis

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Comprehensive Integration of Single-Cell Data

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High-definition spatial transcriptomics for in situ tissue profiling

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Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression

(2019) Chenglong Xia et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

SpaCell: integrating tissue morphology and spatial gene expression to predict disease cells

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Toward a Common Coordinate Framework for the Human Body

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Neural Image Compression for Gigapixel Histopathology Image Analysis

(2019) David Tellez et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Identification of spatial expression trends in single-cell gene expression data

(2018) Daniel Edsgärd et al.   NATURE METHODS

Barcoded solid-phase RNA capture for Spatial Transcriptomics profiling in mammalian tissue sections

(2018) Fredrik Salmén et al.   Nature Protocols

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

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RNA-Seq: a revolutionary tool for transcriptomics

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