Welcome to my New Blog... Graphs Tables for Skin Cancer

Skin Cancer, mesothelioma, Mesothelioma Cancer, Mesothelioma Lwayer
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Thursday, March 13, 2008

Fwd: Mesothelioma Cancer Mouse Model Reproduces Human Disease



---------- Forwarded message ----------
From: Live Search News: asbestos cancer <rssfwd@rssfwd.com>
Date: Thu, Mar 13, 2008 at 11:35 AM
Subject: Mesothelioma Cancer Mouse Model Reproduces Human Disease
To: mesothelioma77@gmail.com


HULIQ.com - Scientists have established a mouse model for human malignant mesothelioma (MM) that will provide valuable insight ... reproduces human disease Talcum powder stunts growth of lung tumors Chemo combination improves survival in asbestos-related cancer

Tue, 11 Mar 2008 19:13:00 GMT

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Source: http://www.huliq.com/53288/mesothelioma-cancer-mouse-model-reproduces-human-disease
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Fwd: Pathway Analysis of Microarray Data via Regression.



---------- Forwarded message ----------
From: HubMed - breast cancer <rssfwd@rssfwd.com>
Date: Thu, Mar 13, 2008 at 11:35 AM
Subject: Pathway Analysis of Microarray Data via Regression.
To: mesothelioma77@gmail.com


[1]J Comput Biol. 2008 Mar 10;
Adewale AJ, Dinu I, Potter JD, Liu Q, Yasui Y

Pathway analysis of microarray data evaluates gene expression profiles of a priori defined biological pathways in association with a phenotype of interest. We propose a unified pathway-analysis method that can be used for diverse phenotypes including binary, multiclass, continuous, count, rate, and censored survival phenotypes. The proposed method also allows covariate adjustments and correlation in the phenotype variable that is encountered in longitudinal, cluster-sampled, and paired designs. These are accomplished by combining the regression-based test statistic for each individual gene in a pathway of interest into a pathway-level test statistic. Applications of the proposed method are illustrated with two real pathway-analysis examples: one evaluating relapse-associated gene expression involving a matched-pair binary phenotype in children with acute lymphoblastic leukemia; and the other investigating gene expression in breast cancer tissues in relation to patients' survival (a censored survival phenotype). Implementations for various phenotypes are available in R. Additionally, an Excel Add-in for a user-friendly interface is currently being developed.



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Source: http://www.hubmed.org/display.cgi?uids=18331198
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