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Predicting regulatory variants with composite statistic.
Li, Mulin Jun; Pan, Zhicheng; Liu, Zipeng; Wu, Jiexing; Wang, Panwen; Zhu, Yun; Xu, Feng; Xia, Zhengyuan; Sham, Pak Chung; Kocher, Jean-Pierre A; Li, Miaoxin; Liu, Jun S; Wang, Junwen.
Affiliation
  • Li MJ; Department of Statistics, Harvard University, Cambridge, Boston, 02138-2901 MA, USA, Centre for Genomic Sciences.
  • Pan Z; Centre for Genomic Sciences, Department of Psychiatry.
  • Liu Z; Centre for Genomic Sciences, Department of Anaesthesiology.
  • Wu J; Department of Statistics, Harvard University, Cambridge, Boston, 02138-2901 MA, USA.
  • Wang P; Centre for Genomic Sciences.
  • Zhu Y; Centre for Genomic Sciences, School of Biomedical Sciences.
  • Xu F; Centre for Genomic Sciences.
  • Xia Z; Department of Anaesthesiology.
  • Sham PC; Centre for Genomic Sciences, Department of Psychiatry.
  • Kocher JP; Department of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ 85259, USA and.
  • Li M; Centre for Genomic Sciences, Department of Psychiatry, Centre for Reproduction, Development and Growth, LKS Faculty of Medicine, the University of Hong Kong, Hong Kong SAR, China.
  • Liu JS; Department of Statistics, Harvard University, Cambridge, Boston, 02138-2901 MA, USA, Center for Statistical Science, Tsinghua University, Beijing 100084, China and.
  • Wang J; Centre for Genomic Sciences, Department of Health Sciences Research, Center for Individualized Medicine, Mayo Clinic, Scottsdale, AZ 85259, USA and Department of Biomedical Informatics, Arizona State University, Scottsdale, AZ 85259, USA.
Bioinformatics ; 32(18): 2729-36, 2016 09 15.
Article in En | MEDLINE | ID: mdl-27273672
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / Molecular Sequence Annotation / Models, Theoretical Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2016 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Software / Molecular Sequence Annotation / Models, Theoretical Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2016 Type: Article