A correlated meta-analysis strategy for data mining "OMIC" scans

Pacific Symposium on Biocomputing

Volumn , Issue , 2013, Pages 236-246

  Province, Michael A ^a   Borecki, Ingrid B ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FALSE POSITIVE; GENETIC EFFECTS; META ANALYSIS; SIMPLE METHOD; TYPE-I ERROR;

DATA MINING;

ARTICLE; BIOLOGY; COMPUTER SIMULATION; DATA MINING; DNA MICROARRAY; GENETIC ASSOCIATION; GENOMICS; HUMAN; META ANALYSIS (TOPIC); METHODOLOGY; PERSONALIZED MEDICINE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICS; PROCEDURES; STATISTICS AND NUMERICAL DATA;

COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DATA MINING; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; INDIVIDUALIZED MEDICINE; META-ANALYSIS AS TOPIC; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84891455020     PISSN: 23356928     EISSN: 23356936     Source Type: Journal    
DOI: None     Document Type: Conference Paper

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