Principal Component Analysis Based Feature Extraction Approach to Identify Circulating microRNA Biomarkers

PLoS ONE

Volumn 8, Issue 6, 2013, Pages

  Taguchi, Y H ^a   Murakami, Yoshiki ^b  

^a CHUO UNIVERSITY   (Japan)

^b OSAKA CITY UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; MICRORNA; MICRORNA 106B; MICRORNA 140; MICRORNA 15B; MICRORNA 16; MICRORNA 16 1; MICRORNA 16A; MICRORNA 185; MICRORNA 191; MICRORNA 19B; MICRORNA 30D; MICRORNA 320A; MICRORNA 425; MICRORNA 486 5; MICRORNA 92 2; MICRORNA 92A; UNCLASSIFIED DRUG;

ACUTE HEART INFARCTION; ARTICLE; CHRONIC OBSTRUCTIVE LUNG DISEASE; CONTROLLED STUDY; DOWN REGULATION; GENE EXPRESSION REGULATION; GENE IDENTIFICATION; GENE TARGETING; LUNG CANCER; MELANOMA; MULTIPLE SCLEROSIS; NEPHROBLASTOMA; NUCLEOTIDE SEQUENCE; OVARY CANCER; PANCREAS CANCER; PANCREAS TUMOR; PANCREATITIS; PERIODONTITIS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; PROSTATE CANCER; RNA ANALYSIS; SARCOIDOSIS; SIMULATION; UPREGULATION;

BIOLOGICAL MARKERS; COMPUTATIONAL BIOLOGY; HUMANS; MICRORNAS; NEOPLASMS; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; TRANSCRIPTOME;

EID: 84879471136     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0066714     Document Type: Article

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