An exploratory data analysis method to reveal modular latent structures in high-throughput data

BMC Bioinformatics

Volumn 11, Issue , 2010, Pages

  Yu, Tianwei ^a  

^a EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DEVELOPMENTAL BIOLOGY; EVOLUTIONARY BIOLOGY; EXPLORATORY DATA ANALYSIS; HIGH-THROUGHPUT DATA; LATENT FACTOR MODELS; LATENT STRUCTURE ANALYSIS; REGULATORY MECHANISM; UNSUPERVISED LEARNING METHOD;

BIOLOGY;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CELL CYCLE; COMPUTER SIMULATION; GENE REGULATORY NETWORK; GENETICS; HUMAN; INFORMATION SYSTEM; LUNG TUMOR; PHYSIOLOGY; SQUAMOUS CELL CARCINOMA; STATISTICAL MODEL; SYSTEMS BIOLOGY; SYSTEMS THEORY; TUMOR CELL LINE; YEAST;

ALGORITHMS; CARCINOMA, SQUAMOUS CELL; CELL CYCLE; CELL LINE, TUMOR; COMPUTER SIMULATION; GENE REGULATORY NETWORKS; HUMANS; INFORMATION SYSTEMS; LUNG NEOPLASMS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; SYSTEMS BIOLOGY; SYSTEMS THEORY; YEASTS;

EID: 77956847872     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-11-440     Document Type: Article

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