Computational analysis of whole-genome differential allelic expression data in human

PLoS Computational Biology

Volumn 6, Issue 7, 2010, Pages 24-

  Wagner, James R ^a   Ge, Bing ^a   Pokholok, Dmitry ^b   Gunderson, Kevin L ^b   Pastinen, Tomi ^a,c   Blanchette, Mathieu ^a  

^a MCGILL UNIVERSITY   (Canada)

^b ILLUMINA INC   (United States)

^c MCGILL UNIVERSITY HEALTH CENTRE   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; GENES; LEARNING SYSTEMS;

COMPUTATIONAL ANALYSIS; COMPUTATIONAL APPROACH; EPIGENETICS; EXPRESSION DATA; GENETIC VARIATION; GENOMIC REGIONS; GENOTYPING; HIGH RESOLUTION; REGULATORY REGIONS; STATISTICAL APPROACH;

HIDDEN MARKOV MODELS;

ALLELE; ARTICLE; CONTROLLED STUDY; GENE EXPRESSION; GENE EXPRESSION REGULATION; GENE MUTATION; GENE REGULATORY NETWORK; GENETIC IDENTIFICATION; GENETIC POLYMORPHISM; GENETIC VARIABILITY; GENOME; GENOTYPE; HAPLOTYPE MAP; HIDDEN MARKOV MODEL; HUMAN; MACHINE LEARNING; MATHEMATICAL ANALYSIS; PROMOTER REGION; STATISTICAL ANALYSIS; ALGORITHM; ALLELIC IMBALANCE; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENOMICS; METHODOLOGY; PROBABILITY; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; ALLELIC IMBALANCE; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENOME; GENOMICS; HUMANS; MARKOV CHAINS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 78049259700     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000849     Document Type: Article

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