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Pineda San Juan Silvia

Main Referenced Co-authors
Malats, Nuria (7)
Van Steen, Kristel  (7)
Milne, Roger (4)
Kogevinas, Manolis (2)
Agarwal, Divianch (1)
Main Referenced Disciplines
Genetics & genetic processes (11)

Publications (total 11)

The most downloaded
2607 downloads
Pineda San Juan, S. (2015). Statistical methods for the integration analysis of -omics data (genomics, epigenomics and transcriptomics): An application to bladder cancer [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/187451 https://hdl.handle.net/2268/187451

The most cited

50 citations (OpenCitations)

Pineda San Juan, S., Real, F. X., Kogevinas, M., Carrato, A., Chanock, S. J., Malats, N., & Van Steen, K. (2015). Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer. PLoS Genetics. doi:10.1371/journal.pgen.1005689 https://hdl.handle.net/2268/193201

Pineda San Juan, S., Real, F. X., Kogevinas, M., Carrato, A., Chanock, S. J., Malats, N., & Van Steen, K. (2015). Integration Analysis of Three Omics Data Using Penalized Regression Methods: An Application to Bladder Cancer. PLoS Genetics. doi:10.1371/journal.pgen.1005689
Peer Reviewed verified by ORBi

Pineda San Juan, S. (2015). Statistical methods for the integration analysis of -omics data (genomics, epigenomics and transcriptomics): An application to bladder cancer [Doctoral thesis, ULiège - Université de Liège]. ORBi-University of Liège. https://orbi.uliege.be/handle/2268/187451

Pineda San Juan, S., Gómez-Rubio, P., Antoni, P., Bessonov, K., Márquez, M., Kogevinas, M., Real, F., Van Steen, K., & Malats, N. (2015). Framework for the integration of genomics, epigenomics, and transcriptomics in complex diseases. Human Heredity.
Peer Reviewed verified by ORBi

Pineda San Juan, S., Malats, N., & Van Steen, K. (24 November 2014). Integration analysis of ‘OMICS’ data using penalized regression methods: An application to bladder cancer [Paper presentation]. CSCDA meeting 2014.

Pineda San Juan, S., Malats, N., & Van Steen, K. (03 September 2014). Integration analysis of ‘OMICS’ data using penalized regression methods: An application to bladder cancer [Paper presentation]. SEE: XXXII Scientific Meeting of the Spanish Epidemiology Society.

Pineda San Juan, S. (2014). Genetic Variation in the TP53 Pathway and Bladder Cancer Risk. A Comprehensive Analysis. PLoS ONE. doi:10.1371/journal.pone.0089952
Peer Reviewed verified by ORBi

Pineda San Juan, S., Malats, N., & Van Steen, K. (01 April 2014). Integration analysis of ‘OMICS’ data using penalized regression methods: An application to bladder cancer [Paper presentation]. EMGM: European Mathematical Genetics Meeting Köln, Germany.

Agarwal, D., Pineda San Juan, S., & Milne, R. (2014). FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium. British Journal of Cancer. doi:10.1038/bjc.2013.769
Peer Reviewed verified by ORBi

Pineda San Juan, S., Milne, R., Van Steen, K., & Malats, N. (22 May 2013). Statistical approaches for the integration of 'omics' and epidemiological data: an application to bladder cancer [Paper presentation]. XIV Scientific Meeting of the Spanish Biometrics Society.

Pineda San Juan, S., Milne, R., Van Steen, K., & Malats, N. (May 2013). Statistical approaches for the integration of 'omics' and epidemiological data: an application to bladder cancer [Paper presentation]. XIV Scientific Meeting of the Spanish Biometrics Society.

Pineda San Juan, S., & Milne, R. (17 October 2012). Métodos estadísticos alternativos para estudios de asociación en análisis de genética [Paper presentation]. SEE: XXX Scientific Meeting of the Spanish Epidemiology Society Santander, Spain.

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