A multimodality ICA study - Integrating genomic single nucleotide polymorphisms with functional neuroimaging data

Proceedings - 2008 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW

Volumn , Issue , 2008, Pages 151-157

  Liu, Jingyu ^a,b   Bixler, Joel N ^c   Calhoun, Vince D ^a,b  

^a MIND RESEARCH NETWORK   (United States)

^b UNIVERSITY OF NEW MEXICO   (United States)

^c UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; DATA ACQUISITION; HEMODYNAMICS; MAGNETIC RESONANCE IMAGING; NUCLEIC ACIDS; NUCLEOTIDES; POLYMORPHISM; TECHNICAL PRESENTATIONS;

ANALYSIS TOOLS; CORRELATION TESTS; FUNCTIONAL MAGNETIC RESONANCE IMAGING; FUNCTIONAL NEUROIMAGING DATUMS; GENOMIC VARIATIONS; MICROARRAY DATUMS; MULTI MODALITIES; ODDS RATIOS; PARALLEL INDEPENDENT COMPONENT ANALYSES; PHENOTYPIC DATUMS; PHENOTYPIC TRAITS; SAMPLE SIZES; SINGLE NUCLEOTIDES; WEAK LINKAGES;

INDEPENDENT COMPONENT ANALYSIS;

EID: 58049185185     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBMW.2008.4686229     Document Type: Conference Paper

References (15)

1. A. R. Hariri and D. R. Weinberger, "Imaging genomics," Br Med Bull, vol. 65, pp. 259-70, 2003.
2. A. Meyer-Lindenberg and D. R. Weinberger, "Intermediate phenotypes and genetic mechanisms of psychiatric disorders," Nat Rev Neurosci, vol. 7, pp. 818-27, Oct 2006.
3. A. R. Hariri, E. M. Drabant, and D. R. Weinberger, "Imaging genetics: perspectives from studies of genetically driven variation in serotonin function and corticolimbic affective processing," Biol Psychiatry, vol. 59, pp. 888-97, May 15 2006.
4. J. Liu, G. Pearlson, A. Windemuth, G. Ruano, N. I. Perrone-Bizzozero, and V. Calhoun, "Combining fMRI and SNP data to investigate connections between brain function and genetics using parallel ICA," Hum Brain Mapp, Dec 10 2007.
5. E. M. Reiman, K. Chen, G. E. Alexander, R. J. Caselli, D. Bandy, D. Osborne, A. M. Saunders, and J. Hardy, "Correlations between apolipoprotein E epsilon4 gene dose and brain-imaging measurements of regional hypometabolism," Proc Natl Acad Sci U S A, vol. 102, pp. 8299-302, Jun 7 2005.
6. D. Montaner, F. Al-Shahrour, and J. Dopazo, " New Trends in the Analysis of Functional Genomic Data," in Mathematics in Industry:Progress in Industrial Mathematics at ECMI 2006. vol. 12, L. L. Bonilla, M. J. Vega, M. Moscoso, and G. Platero, Eds.: Springer Berlin Heidelberg, 2006, pp. 576-580.
7. W. Liebermeister, "Linear modes of gene expression determined by independent component analysis," Bioinformatics, vol. 18, pp. 51-60, Jan 2002.
8. J. A. Berger, S. K. Mitra, and H. Edgren, "Studying DNA microarray data using independent component analysis," in Control, Communications and Signal Processing, 2004. First International Symposium on, 2004, pp. 747-750.
9. Z. Dawy, M. Sarkis, J. Hagenauer, and J. Mueller, "A Novel Gene Mapping Algorithm Based on Independent Component Analysis," in Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on, Philadelphia, PA, USA, 2005, pp. 381-384.
10. D. Mantini, F. Petrucci, P. Del Boccio, D. Pieragostino, M. Di Nicola, A. Lugaresi, G. Federici, P. Sacchetta, C. Di Ilio, and A. Urbani, "Independent component analysis for the extraction of reliable protein signal profiles from MALDI-TOF mass spectra," Bioinformatics, vol. 24, pp. 63-70, Jan 1 2008.
11. J. Liu, O. Demirci, and V. D. Calhoun, "A Parallel Independent Component Analysis Approach to Investigate Genomic Influence on Brain Function," IEEE Signal Processing Letters, In press 2008.
12. A. J. Bell and T. J. Sejnowski, "An information-maximization approach to blind separation and blind deconvolution," Neural Comput, vol. 7, pp. 1129-59, Nov 1995.
13. V. D. Calhoun, T. Adali, G. D. Pearlson, and J. J. Pekar, "Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms," Hum Brain Mapp, vol. 13, pp. 43-53, May 2001.
14. Y. Benjamini and Y. Hochberg, "Controlling the false discovery rate: a practical and powerful approach to multiple testing," Journal of the royal statistical society series B (Methodological), vol. 57, pp. 289-300, 1995.
15. S. Purcell, B. Neale, K. Todd-Brown, L. Thomas, M. A. Ferreira, D. Bender, J. Maller, P. Sklar, P. I. de Bakker, M. J. Daly, and P. C. Sham, "PLINK: a tool set for whole-genome association and population-based linkage analyses," Am J Hum Genet, vol. 81, pp. 559-75, Sep 2007.