Mathematical modelling of transcriptional heterogeneity identifies novel markers and subpopulations in complex tissues

Scientific Reports

Volumn 6, Issue , 2016, Pages

  Wang, Niya ^a   Hoffman, Eric P ^b   Chen, Lulu ^a   Chen, Li ^c   Zhang, Zhen ^d   Liu, Chunyu ^e   Yu, Guoqiang ^a   Herrington, David M ^f   Clarke, Robert ^g   Wang, Yue ^a  

^a Virginia Polytechnic Institute and State University   (United States)

^b CHILDREN'S NATIONAL MEDICAL CENTER   (United States)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

^d JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF ILLINOIS AT CHICAGO   (United States)

^f WAKE FOREST SCHOOL OF MEDICINE   (United States)

^g GEORGETOWN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN TISSUE; CELL CYCLE; DNA TRANSCRIPTION; FUNGAL CELL CULTURE; GENE EXPRESSION; GENETIC TRANSCRIPTION; IDENTITY; LEUKOCYTE; MARKER GENE; MODEL; ORGAN CULTURE; STATISTICAL MODEL; YEAST CELL; ANIMAL; ANTIBODY SPECIFICITY; BIOLOGICAL MODEL; BRAIN; FUNGAL GENE; GENE EXPRESSION PROFILING; LIVER; LUNG; METABOLISM; RAT; YEAST;

BIOLOGICAL MARKER; TRANSCRIPTOME;

ANIMALS; BIOMARKERS; BRAIN; GENE EXPRESSION PROFILING; GENES, FUNGAL; LIVER; LUNG; MODELS, BIOLOGICAL; ORGAN SPECIFICITY; RATS; TRANSCRIPTOME; YEASTS;

EID: 84954563283     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep18909     Document Type: Article

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