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MM-ChIP enables integrative analysis of cross-platform and between-laboratory ChIP-chip or ChIP-seq data

Yiwen Chen1, Clifford A Meyer1, Tao Liu1, Wei Li23, Jun S Liu4 and Xiaole Shirley Liu1*

Author Affiliations

1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard School of Public Health, 44 Binney Street, Boston, MA 02115, USA

2 Division of Biostatistics, Dan L Duncan Cancer Center, Department of Molecular and Cellular Biology, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA

3 Department of Bioinformatics, School of Life Science and Technology, Tongji University, Shanghai, 200092, PR China

4 Department of Statistics, Harvard University, 1 Oxford Street, Cambridge, MA 02138, USA

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Genome Biology 2011, 12:R11  doi:10.1186/gb-2011-12-2-r11

Published: 1 February 2011

Additional files

Additional file 1:

Supplementary Figure S1 and supporting text. Additional file 1 contains Supplementary Figure S1 and supporting text that describes false discovery rate calculation for integrative analysis based on Stouffer's method.

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