GiniClust: Detecting rare cell types from single-cell gene expression data with Gini index

Genome Biology

Volumn 17, Issue 1, 2016, Pages

  Jiang, Lan ^a,b,c   Chen, Huidong ^a,b,d   Pinello, Luca ^a,b   Yuan, Guo Cheng ^a,b,e  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^c BOSTON CHILDREN S HOSPITAL   (United States)

^d TONGJI UNIVERSITY   (China)

^e HARVARD STEM CELL INSTITUTE   (United States)

Author keywords

Clustering; Gini index; QPCR; Rare cell type; RNA seq; Single cell analysis

Indexed keywords

HEMOGLOBIN; RNA;

ALGORITHM; ARTICLE; BRAIN CORTEX; CONTROLLED STUDY; DATA ANALYSIS; GENE EXPRESSION; GINICLUST ALGORITHM; HIPPOCAMPUS; RNA SEQUENCE; SENSITIVITY AND SPECIFICITY; SINGLE CELL ANALYSIS; SOMATOSENSORY CORTEX; ANIMAL; BIOLOGY; BIOSYNTHESIS; CELL LINEAGE; CEREBELLUM CORTEX; GENE EXPRESSION REGULATION; GENETICS; HIGH THROUGHPUT SEQUENCING; METABOLISM; MOUSE; MOUSE EMBRYONIC STEM CELL; PROCEDURES; SEQUENCE ANALYSIS;

ANIMALS; CELL LINEAGE; CEREBELLAR CORTEX; COMPUTATIONAL BIOLOGY; GENE EXPRESSION REGULATION; HEMOGLOBINS; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; HIPPOCAMPUS; MICE; MOUSE EMBRYONIC STEM CELLS; RNA; SEQUENCE ANALYSIS, RNA; SINGLE-CELL ANALYSIS;

EID: 84976875133     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-016-1010-4     Document Type: Article

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