Alberto Risueño Pérez - Gredos - Universidad de Salamanca

Tesis Doctoral
37, e107.
Gardina, P.J., Clark, T.a., Shimada, B., Staples, M.K., Yang, Q., Veitch, J., Schweitzer, A., Awad,
T., Sugnet, C., Dee, S., et al. (2006). Alternative splicing and differential gene expression in
colon cancer detected by a whole genome exon array. BMC Genomics 7, 325.
Gath, I., and Geva, A.B. (1989). Unsupervised optimal fuzzy clustering. IEEE Transactions on
Pattern Analysis and Machine Intelligence 11, 773-­‐780.
Gautier, L., Moller, M., Friis-­‐Hansen, L., and Knudsen, S. (2004). Alternative mapping of probes
to genes for Affymetrix chips. BMC Bioinformatics 5, 111.
Geng, X., Zhan, D.C., and Zhou, Z.H. (2005). Supervised nonlinear dimensionality reduction for
visualization and classification. IEEE Trans Syst Man Cybern B Cybern 35, 1098-­‐1107.
Gentleman, R.C., Carey, V.J., Bates, D.M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier,
L., Ge, Y., Gentry, J., et al. (2004). Bioconductor: open software development for
computational biology and bioinformatics. Genome Biology 5, R80.
Goeman, J., and Oosting, J. (2009). Testing association of a pathway with a clinical variable.
Goeman, J.J., van de Geer, S.a., de Kort, F., and van Houwelingen, H.C. (2004). A global test for
groups of genes: testing association with a clinical outcome. Bioinformatics 20, 93-­‐99.
Graveley, B.R. (2001). Alternative splicing: increasing diversity in the proteomic world. Trends
Genet 17, 100-­‐107.
Griffith, O.L., Pleasance, E.D., Fulton, D.L., Oveisi, M., Ester, M., Siddiqui, A.S., and Jones, S.J.
(2005). Assessment and integration of publicly available SAGE, cDNA microarray, and
oligonucleotide microarray expression data for global coexpression analyses. Genomics 86,
476-­‐488.
Grosso, A.R., Martins, S., and Carmo-­‐Fonseca, M. (2008). The emerging role of splicing factors
in cancer. EMBO Rep 9, 1087-­‐1093.
Haider, S., Ballester, B., Smedley, D., Zhang, J., Rice, P., and Kasprzyk, A. (2009). BioMart
Central Portal-­‐-­‐unified access to biological data. Nucleic Acids Res 37, W23-­‐27.
Harbig, J., Sprinkle, R., and Enkemann, S.A. (2005). A sequence-­‐based identification of the
genes detected by probesets on the Affymetrix U133 plus 2.0 array. Nucleic Acids Res 33, e31.
Hedges, S.B., Dudley, J., and Kumar, S. (2006). TimeTree: a public knowledge-­‐base of
divergence times among organisms. Bioinformatics 22, 2971-­‐2972.
Hernandez, J.A., Rodriguez, A.E., Gonzalez, M., Benito, R., Fontanillo, C., Sandoval, V., Romero,
M., Martin-­‐Nunez, G., de Coca, A.G., Fisac, R., et al. (2009). A high number of losses in 13q14
chromosome band is associated with a worse outcome and biological differences in patients
with B-­‐cell chronic lymphoid leukemia. Haematologica 94, 364-­‐371.
Hochberg, Y. (1988). A sharper Bonferroni procedure for multiple tests of significance.
Biometrika 75, 800–803.
Hochreiter, S., Clevert, D.A., and Obermayer, K. (2006). A new summarization method for
108