Single-cell entropy for accurate estimation of differentiation potency from a cell's transcriptome

Nature Communications

Volumn 8, Issue , 2017, Pages

  Teschendorff, Andrew E ^a,b,c   Enver, Tariq ^c  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

TRANSCRIPTOME; RNA;

ACCURACY ASSESSMENT; BIOINFORMATICS; BIOLOGICAL DEVELOPMENT; CANCER; CELLS AND CELL COMPONENTS; DRUG RESISTANCE; ENTROPY; PHENOTYPE; RNA;

ALGORITHM; ARTICLE; CANCER STEM CELL; CELL DIFFERENTIATION; CELL HETEROGENEITY; CELL PLASTICITY; CELL SUBPOPULATION; CIRCULATING TUMOR CELL; COMPUTER MODEL; CONTROLLED STUDY; CORRELATION ANALYSIS; EMBRYO; ENDOTHELIUM CELL; ENTROPY; HUMAN; HUMAN CELL; HUMAN EMBRYONIC STEM CELL; MEASUREMENT ACCURACY; MULTIPOTENT STEM CELL; MYOBLAST; NEURAL STEM CELL; PHENOTYPE; PLURIPOTENT STEM CELL; RNA SEQUENCE; SIGNAL TRANSDUCTION; SINGLE CELL ANALYSIS; SKIN FIBROBLAST; TROPHOBLAST; BIOLOGY; CELL LINE; GENETICS; INFORMATION PROCESSING; PHYSIOLOGY; PROCEDURES; SEQUENCE ANALYSIS;

CELL DIFFERENTIATION; CELL LINE; COMPUTATIONAL BIOLOGY; DATASETS AS TOPIC; ENTROPY; HUMANS; NEOPLASTIC STEM CELLS; RNA; SEQUENCE ANALYSIS, RNA; SIGNAL TRANSDUCTION; SINGLE-CELL ANALYSIS; TRANSCRIPTOME;

EID: 85020213929     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms15599     Document Type: Article

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