[BioPython] Lowess function for nonparametric regression

[Michiel Jan Laurens de Hoon]

Dear Biopythoneers,

Recently I wrote a pure Python implementation of the Lowess function for 
nonparametric regression. For an example, see
http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/lowess.png
the red line is a nonparametric regression curve fitted to the scatterplot. The 
value on the x-axis is the mean of replicated gene expression measurements; the 
y-axis is the associated measurement error. Such plots are used to find out how 
large the measurement error typically is for a given magnitude of a measured 
gene expression level.
If this function is useful for other computational biologists, I can submit it 
to Biopython. In that case, which module would this fall under? Or can I just 
make a Lowess.py under Bio? The code is very short, about 25 lines of Python for 
the actual function.

--Michiel

-- 
Michiel de Hoon, Assistant Professor
University of Tokyo, Institute of Medical Science
Human Genome Center
4-6-1 Shirokane-dai, Minato-ku
Tokyo 108-8639
Japan
http://bonsai.ims.u-tokyo.ac.jp/~mdehoon