c********8
发帖数: 5 | 1 有一个关于 RMA background correction 的公式：
Model S as the sum of a signal X and a background Y, S=X+Y, where we assume
X is exponential (α) and Y is Normal (µ,σ2), X, Y independent
random variables.
Background adjusted values are then E(X|S=s), which is
a + b[f(a/b) - f((s-a)/b)]/[F(a/b) - F((s-a)/b) - 1],
where a = s - µ- ασ2, b = σ, and f and F are the normal
density and cumulative density, respectively.
请提供一些推导此公式的线索。谢谢！ | g********r
发帖数: 8017 | 2 还有人研究这个变变的东西。有一次刚好遇到。
http://www.biochem.ucl.ac.uk/~harry/MAD/rma_bg.pdf
assume
【在 c********8 的大作中提到】
: 有一个关于 RMA background correction 的公式：
: Model S as the sum of a signal X and a background Y, S=X+Y, where we assume
: X is exponential (α) and Y is Normal (µ,σ2), X, Y independent
: random variables.
: Background adjusted values are then E(X|S=s), which is
: a + b[f(a/b) - f((s-a)/b)]/[F(a/b) - F((s-a)/b) - 1],
: where a = s - µ- ασ2, b = σ, and f and F are the normal
: density and cumulative density, respectively.
: 请提供一些推导此公式的线索。谢谢！
|
|
