Mayte Suarez Farinas

Selected Publications and Manuscripts

Book Chapters

-         Suárez-Fariñas M.. and Magnasco, M.(2005). Microarray Data Analysis: Methods and Aplications. Humana Press. In press
      Chapter: Comparing microarrays studies.

Recent papers:

  Lim, D., Suárez-Fariñas M., Naef, F., Patil N., Magnasco, M., Alvarez–Buylla, A.(2005). Biological Insights from the transcriptional profiles of adult subventricular zone (SVZ) neurogenesis. Journal of Molecular and Celullar Neurosciences 31, 131-148 (pdf)

Suárez-Fariñas M., Pellegrino, M., Wittkowski, K. and Magnasco, M. (2005). Harshlight: a Harshlight: a “corrective make-up”  program for microarray chips.  BMC Bioinformatics 6:294 (pdf)

Suárez-Fariñas M., Noggle, S., Heke, M., Brinvalou, A., Magnasco, M.(2005). Comparing ndependent microarray studies: the case of human embryonic stem cells. BMC Genomics 6:99 (pdf)

Suárez-Fariñas M., Haider, A., Wittkowski, K.(2005). Harshlighting small blemishes on microarrays. BMC BioInformatics, 6:65. (pdf)

Suárez-Fariñas M., Pedreira, C.E., and Medeiros, M.(2004). Linear Local-Global Neural Networks: A new non-linear approach for times series modelling. Journal of American Statistical Association, vol.99, no.458, pp. 1092-1107(16). (pdf)

Suárez-Fariñas M., Haider A., Wittkowski, K.(2004). U-Statistics for Microarray: Normalization, Signal Value Estimation, Gene Expression Profiles, in proceeding of Join Statistical Meeting. Toronto, August 2004. (pdf)

Suárez-Fariñas M., Sousa, R., Souza, R. (2004). A methodology to filter time Series. Application in minute-to-minute electric load series.  Journal of the Brazilian Operations Research Society, vol.24, no.3, pp 355–371.(pdf)


Previous work

Fariñas, M. and Pedreira, C.E.(2002). Missing Data Interpolation By Using Local-Global Neural Networks. Engineering Intelligent Systems for Electrical engerneering and Comunications, vol.10, no.2 85:91.(pdf)

Pedreira, C.E., Fariñas, M. and Pedroza, L.C.(2001).  Local-Global Neural Networks - An application to the problem of missing values. (in Portuguese) Learning and Non Linear Models. Journal of the Brazilian Society for Neural Networks, no.1.(pdf)

Barbosa, M.E., Beltrão, K., Fernandes C., Santos, D., Suárez M., Andrade, A.C.(2001). SAEB - National System for Evaluation of the Basic Education:  objectives, characteristics and contributions in efficient school research. (In Portuguese). Brazilian Journal of Population Studies, vol.18, n.1.

 Allende S., Bouza, C., Garcet, S. and Suárez, M. (1997). The parametric linear complementary problem, Algorithm of solution. Cuban Journal of Operations Research. vol.18, no.1–3, pp 11–56. 11.     

Suárez M., Garcet, S., Allende S. and Bouza, C. (1997). Learning in an artificial neuronal network through linear regression curve fitting. Cuban Journal of Operations Research. Havana, Cuba, vol.17, no.1-3, pp 55-60.





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