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

Nature Methods

Volumn 15, Issue 5, 2018, Pages 339-342

  Edsgärd, Daniel ^a,b   Johnsson, Per ^a,b   Sandberg, Rickard ^a,b  

^a KAROLINSKA INSTITUTE   (Sweden)

^b LUDWIG INSTITUTE FOR CANCER RESEARCH   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

KRUPPEL LIKE FACTOR 6; MEMBRANE PROTEIN; PMEPA1 PROTEIN; SMALL CYTOPLASMIC RNA; UNCLASSIFIED DRUG; RNA; TRANSCRIPTOME;

ANIMAL CELL; ANIMAL TISSUE; ARTICLE; BOOTSTRAPPING; BREAST CANCER; CANCER TISSUE; CELLULAR DISTRIBUTION; COMPARATIVE STUDY; ECTODERM; FLUORESCENCE IN SITU HYBRIDIZATION; GENE EXPRESSION; GENE EXPRESSION LEVEL; GENE IDENTIFICATION; HIPPOCAMPUS; HUMAN; HUMAN CELL; MATHEMATICAL ANALYSIS; MOUSE; NONHUMAN; NORMAL DISTRIBUTION; OLFACTORY BULB; POISSON DISTRIBUTION; POWER ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; RNA ANALYSIS; RNA SEQUENCE; SEGREGATION ANALYSIS; SINGLE CELL ANALYSIS; SPATIAL ANALYSIS; TRANSCRIPTOMICS; TRENDSCEEK ANALYSIS; ANIMAL; GENE EXPRESSION REGULATION; GENETICS; PHYSIOLOGY; PROCEDURES; PROTEIN TRANSPORT; SEQUENCE ANALYSIS;

ANIMALS; GENE EXPRESSION REGULATION; HIPPOCAMPUS; MICE; PROTEIN TRANSPORT; RNA; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS; TRANSCRIPTOME;

EID: 85045437597     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4634     Document Type: Article

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