Class for the object returned by positiveFusedLasso()
YA list containing the original minor, major and total copy number signals.
ZtA list containing the (final) minor, major and total copy number
estimates for the latent features, as inferred by
positiveFusedLasso().
Z0tidem for the initial estimates.
WA matrix containing weights inferred by positiveFusedLasso().
muA list containing the intercept vectors inferred by
positiveFusedLasso().
EA list containing estimates of minor copy number and major copy
number inferred by positiveFusedLasso().
paramsA numeric vector, the input parameters.
failureA logical value indicating whether the estimation worked or failed (because of the non-invertibility of W^tW).
converged,iterationsDid the model fit converge and how many iterations did it run?
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.