Quantitative prediction of the effect of genetic variation using hidden Markov models

BMC Bioinformatics

Volumn 15, Issue 1, 2014, Pages

  Liu, Mingming ^a   Watson, Layne T ^a   Zhang, Liqing ^a  

^a VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL DATA; DIFFERENT CLASS; FUNCTIONAL PREDICTIONS; GENETIC VARIATION; QUANTITATIVE PREDICTION; SEQUENCE VARIANTS; SINGLE NUCLEOTIDES; STRUCTURAL VARIATIONS;

FORECASTING; HIDDEN MARKOV MODELS;

GENES;

PROTEIN;

ARTICLE; BIOLOGICAL MODEL; BIOLOGY; GENETIC VARIABILITY; GENETICS; HUMAN; HUMAN GENOME; INDEL MUTATION; METABOLISM; METHODOLOGY; PHYSIOLOGY; PROBABILITY; RECEIVER OPERATING CHARACTERISTIC; STATISTICAL MODEL;

COMPUTATIONAL BIOLOGY; GENETIC VARIATION; GENOME, HUMAN; HUMANS; INDEL MUTATION; MARKOV CHAINS; MODELS, GENETIC; MODELS, STATISTICAL; PROTEINS; ROC CURVE;

EID: 84892185741     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-15-5     Document Type: Article

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