Spatial smoothing and hot spot detection for CGH data using the fused lasso.
نویسندگان
چکیده
We apply the "fused lasso" regression method of (TSRZ2004) to the problem of "hot- spot detection", in particular, detection of regions of gain or loss in comparative genomic hybridization (CGH) data. The fused lasso criterion leads to a convex optimization problem, and we provide a fast algorithm for its solution. Estimates of false-discovery rate are also provided. Our studies show that the new method generally outperforms competing methods for calling gains and losses in CGH data.
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عنوان ژورنال:
- Biostatistics
دوره 9 1 شماره
صفحات -
تاریخ انتشار 2008