Reducing system noise in copy number data using principal components of self-self hybridizations

Proceedings of the National Academy of Sciences of the United States of America

Volumn 109, Issue 3, 2012, Pages

  Lee, Yoon Ha ^a   Ronemus, Michael ^a   Kendall, Jude ^a   Lakshmi, B ^a,c   Leotta, Anthony ^a   Levy, Dan ^a   Esposito, Diane ^a   Grubor, Vladimir ^a,d   Ye, Kenny ^b   Wigler, Michael ^a   Yamroma, Boris ^a  

^a Simons Center for Quantitative Biology   (United States)

^b ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

^c ONTARIO INSTITUTE FOR CANCER RESEARCH   (Canada)

^d DUKE UNIVERSITY   (United States)

Author keywords

Comparative genomic hybridization; Copy number variation; Principal component analysis; Singular value decomposition

Indexed keywords

DNA;

ARTICLE; ARTIFACT; COPY NUMBER VARIATION; CPG ISLAND; DATA PROCESSING; FALSE POSITIVE RESULT; GENOME ANALYSIS; HUMAN; HYBRIDIZATION; MALE; MATHEMATICAL VARIABLE; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SELF SELF HYBRIDIZATION; SIGNAL NOISE RATIO;

DATABASES, GENETIC; DNA COPY NUMBER VARIATIONS; DNA PROBES; GENOME, HUMAN; HUMANS; HYBRIDIZATION, GENETIC; MALE; PRINCIPAL COMPONENT ANALYSIS; REFERENCE STANDARDS;

EID: 84863029822     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1106233109     Document Type: Article

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