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Kimono

K-means Integrated Models for OligoNucleOtide arrays

Competitively trains k simultaneous models for sequence/array data by Gibbs sampling from the joint likelihood function described:

$\begin{displaymath}\mbox{Pr}[{\bf S}; {\bf x} \vert {\bf d}; {\bf C}; {\bf c}] =... ... S} \vert {\bf d}] . \mbox{Pr}[{\bf x} \vert {\bf C}; {\bf c}] \end{displaymath}$

Potential benefits:

Weak signals mutually reinforced
Incorporation of sophisticated priors
Other kinds of data (e.g. ESTs, homology, UTRs, experimental...)

(Holmes and Bruno, Proc. ISMB 2000, in press)

email [email protected] for your GPL'd copy...

2000-04-26