posted on 2010-02-05, 14:37authored byThomas Bowles, Andreas Jakobsson, Jonathon Chambers
We present a method for the estimation of possible cell cyclic
elements in mis-sampled microarray data. Accurate assessment
of the frequency content of microarray data gives insight
into genes which could be cell-cycle regulated. Cell
cycle regulation is one component of the complex network
of genetic regulatory processes and is especially relevant to
the study of cancer. As cDNA microarray experiments involve
human sampling of cell populations, slight variations
in the sampling times invariably occur. Here, we propose estimating
the frequency content of microarray data using the
recent robust Capon estimator, and formulate a suitable uncertainty
region to minimize over. The estimator is shown
to yield robust estimates with real microarray data and to
identify cell-cyclic genes that elude both the traditional Periodogram
and the Capon spectral estimator.
History
School
Mechanical, Electrical and Manufacturing Engineering
Citation
BOWLES, T., JAKOBSSON, A. and CHAMBERS, J.A., 2004. Detection of cell-cyclic elements in mis-sampled gene expression data using a robust Capon estimator. IN: Proceedings of 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '04), Montreal, Quebec, 17-21 May, Vol. 5, pp. 17-20