Description Usage Arguments Value Author(s) References See Also Examples
Applies Chens single slide method.
1 |
RG |
a list with 4 elements, each represents a matrix with p rows for p
genes and n columns for n slides. |
layout |
a list specifying the dimensions of the spot matrix and the grid
matrix. This can be generated by calling |
image.id |
Specifies image to which Chen's method will be applied. |
norm |
Character string, one of "n", "m", "l", "p" or "s". This
argument specifies the type of normalization method to be performed:
"n" no normalization between the 2 channels; "m"
|
pout |
if TRUE, an M vs. A plot will be produced with limits due to Chen 95% and 99%. If FALSE, returns upper and lower bounds at 95% and 99% levels. |
List containing the following components:
lower01 |
The lower limit of 99% confidence interval |
upper01 |
The upper limit of 99% confidence interval |
lower05 |
The lower limit of 95% confidence interval |
upper05 |
The upper limit of 95% confidence interval |
Ben Bolstad, bolstad@stat.berkeley.edu
Chen, Y., E.R. Dougherty, and M.L. Bittner. Ratio-based decisions and the quantitative analysis of cDNA microarray images. Journal of Biomedical Optics , Volume 2 (4), 364-374, 1997. (1997)
1 2 3 4 | data(MouseArray)
##mouse.setup <- init.grid()
##mouse.data <- init.data() ## see \emph{init.data}
stat.Chen(mouse.data,mouse.setup,image.id=3)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.