Prezados colegas, Boa noite! Alguém poderia, por gentileza, me disponibilizar os seguintes artigos? 1. Baldi and Long 2001. P. Baldi and A. D. Long. A Bayesian Framework for the Analysis of Microarray _expression_ Data: Regularized t-Test and Statistical Inferences of Gene Changes. Bioinformatics, in press (2001). 2. Serotonin Receptor Antagonism Selectively Targets Leukemic Stem Cells Source: PEDIATRIC BLOOD & CANCER Volume: 58 Issue: 7 Special Issue: SI Pages: 1014-1014 Published: JUL 2012 ISSN: 1545-5009 3. Newton et al 2001. M.A. Newton, C.M. Kendziorski, C.S. Richmond, F.R. Blattner, K.W. Tsui. On differential variability of _expression_ ratios: Improving statistical inference about gene _expression_ changes from microarray data. Journal of Computational Biology Vol. 8 Num. 1 (2001) 37-52 4. Tamayo et al 1999. Tamayo P, et al. Interpreting patterns of gene _expression_ with self-organizing maps: Methods and application to hematopoietic differentiation. Proc. Natl. Acad. Sci. (USA) 96, 2907-2912 (1999). 5. Multiclass cancer diagnosis using tumor gene _expression_ signatures (www.jstor.org/stable/3057425) 6. Mukherjee et al 1999. Mukherjee S. et al. Support vector machine classification of microarray data. CBCL Paper #182/AI Memo #1676, Massachusetts Institute of Technology, Cambridge, MA, December 1999 Desde já agradeço. Atenciosamente, Graziela. |