Prediction of CpG island methylation status by integrating DNA physicochemical properties

Genomics

Volumn 104, Issue 4, 2014, Pages 229-233

  Feng, Pengmian ^a   Chen, Wei ^a   Lin, Hao ^b  

^a HEBEI UNITED UNIVERSITY   (China)

^b UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

CpG island; DNA methylation; DNA physicochemical property; Na ve Bayes; Pseudo trinucleotide composition

Indexed keywords

ARTICLE; BAYESIAN LEARNING; CD4+ T LYMPHOCYTE; CD8+ T LYMPHOCYTE; CPG ISLAND; DNA BASE COMPOSITION; DNA METHYLATION; DNA PHYSICOCHEMICAL PROPERTY; DNA SEQUENCE; HEART MUSCLE; JACKKNIFE TEST; PHYSICAL CHEMISTRY; PREDICTION; PSEUDO TRINUCLEOTIDE COMPOSITION; BAYES THEOREM; CHEMISTRY; GENETIC EPIGENESIS; HUMAN; HUMAN GENOME; PROCEDURES;

DNA;

BAYES THEOREM; CPG ISLANDS; DNA; DNA METHYLATION; EPIGENESIS, GENETIC; GENOME, HUMAN; HUMANS; SEQUENCE ANALYSIS, DNA;

EID: 84908214945     PISSN: 08887543     EISSN: 10898646     Source Type: Journal    
DOI: 10.1016/j.ygeno.2014.08.011     Document Type: Article

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