scholarly journals Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays

2003 ◽  
Vol 18 (1) ◽  
pp. 104-117 ◽  
Author(s):  
Robert Tibshirani ◽  
Trevor Hastie ◽  
Balasubramanian Narasimhan ◽  
Gilbert Chu
Science ◽  
1999 ◽  
Vol 286 (5439) ◽  
pp. 531-537 ◽  
Author(s):  
T. R. Golub ◽  
D. K. Slonim ◽  
P. Tamayo ◽  
C. Huard ◽  
M. Gaasenbeek ◽  
...  

Although cancer classification has improved over the past 30 years, there has been no general approach for identifying new cancer classes (class discovery) or for assigning tumors to known classes (class prediction). Here, a generic approach to cancer classification based on gene expression monitoring by DNA microarrays is described and applied to human acute leukemias as a test case. A class discovery procedure automatically discovered the distinction between acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL) without previous knowledge of these classes. An automatically derived class predictor was able to determine the class of new leukemia cases. The results demonstrate the feasibility of cancer classification based solely on gene expression monitoring and suggest a general strategy for discovering and predicting cancer classes for other types of cancer, independent of previous biological knowledge.


2011 ◽  
Vol 81 (1) ◽  
pp. 34-42 ◽  
Author(s):  
Joel Deneau ◽  
Taufeeq Ahmed ◽  
Roger Blotsky ◽  
Krzysztof Bojanowski

Type II diabetes is a metabolic disease mediated through multiple molecular pathways. Here, we report anti-diabetic effect of a standardized isolate from a fossil material - a mineraloid leonardite - in in vitro tests and in genetically diabetic mice. The mineraloid isolate stimulated mitochondrial metabolism in human fibroblasts and this stimulation correlated with enhanced expression of genes coding for mitochondrial proteins such as ATP synthases and ribosomal protein precursors, as measured by DNA microarrays. In the diabetic animal model, consumption of the Totala isolate resulted in decreased weight gain, blood glucose, and glycated hemoglobin. To our best knowledge, this is the first description ever of a fossil material having anti-diabetic activity in pre-clinical models.


2006 ◽  
Vol 54 (S 1) ◽  
Author(s):  
HS Hofmann ◽  
A Simm ◽  
G Hansen ◽  
RJ Scheubel ◽  
RE Silber ◽  
...  

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