A single-sample microarray normalization method to facilitate personalized-medicine workflows

Genomics

Volumn 100, Issue 6, 2012, Pages 337-344

  Piccolo, Stephen R ^a,b   Sun, Ying ^c   Campbell, Joshua D ^b   Lenburg, Marc E ^b   Bild, Andrea H ^a,c   Johnson, W Evan ^b,c  

^a UNIVERSITY OF UTAH   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF UTAH   (United States)

Author keywords

Linear model; Method; Microarray; Mixture model; Normalization; Single sample technique

Indexed keywords

ANALYTIC METHOD; ARTICLE; BINDING AFFINITY; CANCER CELL CULTURE; CONTROLLED STUDY; FLUORESCENCE; GENE EXPRESSION PROFILING; GENETIC ALGORITHM; GENETIC DATABASE; GENETIC TRANSCRIPTION; GENETIC VARIABILITY; HUMAN; HUMAN CELL; INFORMATION PROCESSING; MICROARRAY ANALYSIS; NOMENCLATURE; NONHUMAN; PERSONALIZED MEDICINE; PHENOTYPE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SIGNAL NOISE RATIO; SIGNAL TRANSDUCTION; SINGLE CHANNEL ARRAY NORMALIZATION; WORKFLOW;

ANALYSIS OF VARIANCE; FLUORESCENCE; GENE EXPRESSION PROFILING; HIGH-THROUGHPUT SCREENING ASSAYS; HUMANS; INDIVIDUALIZED MEDICINE; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SAMPLE SIZE; SELECTION BIAS; SIGNAL-TO-NOISE RATIO; WORKFLOW;

EID: 84869890209     PISSN: 08887543     EISSN: 10898646     Source Type: Journal    
DOI: 10.1016/j.ygeno.2012.08.003     Document Type: Article

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