Probabilistic analysis of probe reliability in differential gene expression studies with short Oligonucleotide arrays

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 8, Issue 1, 2011, Pages 217-225

  Lahti, Leo ^a   Elo, Laura L ^b   Aittokallio, Tero ^b   Kaski, Samuel ^a  

^a HELSINKI INSTITUTE FOR INFORMATION TECHNOLOGY   (Finland)

^b UNIVERSITY OF TURKU   (Finland)

Author keywords

Applications; biology and genetics; parameter learning; probabilistic algorithms.

Indexed keywords

BIOLOGY AND GENETICS; DIFFERENTIAL GENE EXPRESSIONS; EXPRESSION DATA; NOISE SOURCE; OLIGONUCLEOTIDE ARRAYS; PARAMETER LEARNING; PROBABILISTIC ALGORITHM; PROBABILISTIC ANALYSIS; PROBABILISTIC METHODS; PROBE DESIGN; SOURCE OF NOISE;

CHROMOSOMES; LEARNING ALGORITHMS; OLIGONUCLEOTIDES; PARAMETER ESTIMATION; PROBES; RELIABILITY ANALYSIS;

GENE EXPRESSION;

ALGORITHM; ARTICLE; BIOLOGY; CHI SQUARE DISTRIBUTION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENOME; HUMAN; NORMAL DISTRIBUTION; NUCLEIC ACID PROBE; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY; SEQUENCE ALIGNMENT; SINGLE NUCLEOTIDE POLYMORPHISM; STANDARD; STATISTICAL MODEL;

ALGORITHMS; CHI-SQUARE DISTRIBUTION; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; GENOME; HUMANS; MODELS, STATISTICAL; NORMAL DISTRIBUTION; NUCLEIC ACID PROBES; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; REPRODUCIBILITY OF RESULTS; ROC CURVE; SEQUENCE ALIGNMENT;

EID: 78449287303     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2009.38     Document Type: Article

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