Re: [ABE-L]: Solicitação de artigos

2012/5/17 Graziela Cristina Chaves de Castro <graziela.ccc@gmail.com>

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
Author(s): Kahn, A (Kahn, Alissa); Hartwell, K (Hartwell, Kimberly); Miller, P (Miller, Peter); Ebert, B (Ebert, Benjamin); Golub, T (Golub, Todd); Moore, M (Moore, Malcolm)

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.

Basilio de Bragança Pereira ,DIC and PhD(Imperial College), DL(COPPE)
*UFRJ-Federal University of Rio de Janeiro
*Titular Professor of Bioestatistics and of Applied Statistics
*FM-School of Medicine and COPPE-Posgraduate School of Engineering and
HUCFF-University Hospital Clementino Fraga Filho.

*MailAddress:
COPPE/UFRJ
Caixa Postal 68507
CEP 21941-972 Rio de Janeiro,RJ
Brazil