Multivariate methods for the integration and visualization of Omics data

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6620 LNBI, Issue , 2012, Pages 29-41

  Sánchez, Alex ^a   Fernández Real, José ^b   Vegas, Esteban ^a   Carmona, Francesc ^a   Amar, Jacques ^c   Burcelin, Remy ^c   Serino, Matteo ^c   Tinahones, Francisco ^d   De Villa, M Carmen Ruíz ^a   Minãrro, Antonio ^a   Reverter, Ferran ^a  

^a UNIVERSITY OF BARCELONA   (Spain)

^b GIRONA BIOMEDICAL RESEARCH INSTITUTE IDIBGI   (Spain)

^c Institut de Médecine Molé Culaire de Rangueil   (France)

^d Hospital Clínico Interuniversitario Virgen de Victoria   (Spain)

Author keywords

Data Integration; Multiple Factor Analysis; Omic Data; Visualization

Indexed keywords

BIO-MOLECULAR; DATA INTEGRATION; DATA SETS; DATA TYPE; EXPRESSION MICROARRAY; FACTORIAL ANALYSIS; GRAPH-BASED METHODS; HIGH THROUGHPUT TECHNOLOGY; INTEGRATED ANALYSIS; MULTIDIMENSIONAL DATA; MULTIPLE FACTOR ANALYSIS; MULTIVARIATE METHODS; MULTIVARIATE STATISTICAL APPROACHES; MULTIVARIATE STATISTICS; OMIC DATA; STATISTICAL TECHNIQUES;

BAYESIAN NETWORKS; BIOINFORMATICS; DATA VISUALIZATION; FLOW VISUALIZATION; INFORMATION USE; VISUALIZATION;

MULTIVARIANT ANALYSIS;

EID: 84859361270     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-28062-7_4     Document Type: Conference Paper

References (16)

1. Carlin, J., Normand, T.: Tutorial in biostatistics. meta-analysis: formulating, evaluating, combining, and reporting. Stat. Med. 19(5), 753-759 (2000)
2. de Tayrac, M., Lê, S., Aubry, M., Mosser, J., Husson, F.: Simultaneous analysis of distinct Omics data sets with integration of biological knowledge: Multiple Factor Analysis approach. BMC Genomics 10, 32-32 (2009)
3. Dumas, M., Canlet, C., Debrauwer, L., Martin, P., Paris, A.: Selection of biomarkers by a multivariate statistical processing of composite metabonomic data sets using multiple factor analysis. J. Proteome Res. 4, 1485-1492 (2005)
4. Escofier, B., Pages, J.: Analyses factorielles simples et multiples. [Multiple and Simple Factor Analysis], 3rd edn. Dunod, Paris (1998)
5. Escofier, E., Pages, J.: Multiple factor analysis (afmult package). Computational Statistics & Data Analysis 18, 121-140 (1994)
6. Falciani, F.: Microarray technology through applications. Taylor & Francis, New York (2007)
7. Gafan, G.P., Lucas, V.S., Roberts, G.J., Petrie, A., Wilson, M., Spratt, D.A.: Statistical analyses of complex denaturing gradient gel electrophoresis profiles. J. Clin. Microbiol. 43, 3971-3978 (2005)
8. Goble, C., Stevens, R.: State of the nation in data integration for bioinformatics. Journal of Biomedical Informatics 41(5), 687-693 (2008), http://dx.doi.org/10.1016/j.jbi.2008.01.008
9. Hamid, J., Hu, P., Roslin, V., Greenwood, C., Beyene, J.: Data integration in genetics and genomics: Methods and challenges. Human Genomics and Proteomics (2009)
10. Huopaniemi, I., Suvitaival, T., Nikkil, J., Orei, M., Kaski, S.: Multivariate multiway analysis of multi-source data. Bioinformatics 26(12), i391-i398 (2010), http://bioinformatics.oxfordjournals.org/content/26/12/i391. abstract
11. Hao, K., Schadt, E.E., Storey, J.D.: Calibrating the performance of snp arrays for whole-genome association studies. PLoS Genet. 4(6), e1000109 (2008)
12. Lě, S., Josse, J., Husson, F.: Factominer: An r package for multivariate analysis. Journal of Statistical Software 25(1), 1-18 (2008), http://www.jstatsoft.org/v25/i01
13. Nguyen, D.V.: DNA microarray experiments: Biological and technological aspects. Biometrics 58(4), 701-717 (2002), http://www.blackwell-synergy.com/doi/ abs/10.1111/j.0006-341X.2002.00701.x
14. Rhodes, D.R., Barrette, T.R., Rubin, M.A., Ghosh, D., Chinnaiyan, A.M.: Meta-analysis of microarrays: interstudy validation of gene expression profiles reveals pathway dysregulation in prostate cancer. Cancer Res. 62(15), 4427-4433 (2002)
15. Ricart, W., Fernández-Real, J.M.: Insulin resistance as a mechanism of adaptation during human evolution. Endocrinol Nutr. 57, 381-390 (2010)
16. Van Deun, K., Smilde, A., van der Werf, M., Kiers, H., Van Mechelen, I.: A structured overview of simultaneous component based data integration. BMC Bioinformatics 10(1), 246 (2009), http://www.biomedcentral.com/1471-2105/10/246