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GCORE-sib: An efficient gene-gene interaction tool for genome-wide association studies based on discordant sib pairs.
Sung, Pei-Yuan; Wang, Yi-Ting; Hsiung, Chao A; Chung, Ren-Hua.
Affiliation
  • Sung PY; Institute of Statistics, National Tsing Hua University, Hsin-Chu, Taiwan.
  • Wang YT; Institute of Statistics, National Tsing Hua University, Hsin-Chu, Taiwan.
  • Hsiung CA; Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.
  • Chung RH; Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan. rchung@nhri.org.tw.
BMC Bioinformatics ; 17(1): 273, 2016 Jul 08.
Article in En | MEDLINE | ID: mdl-27391654
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Full text: 1 Database: MEDLINE Main subject: Software / Polymorphism, Single Nucleotide / Siblings / Epistasis, Genetic / Genome-Wide Association Study Type of study: Risk_factors_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2016 Type: Article Affiliation country: Taiwan
Fulltext
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Full text: 1 Database: MEDLINE Main subject: Software / Polymorphism, Single Nucleotide / Siblings / Epistasis, Genetic / Genome-Wide Association Study Type of study: Risk_factors_studies Limits: Humans Language: En Journal: BMC Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2016 Type: Article Affiliation country: Taiwan