Detection of cell-cyclic elements in mis-sampled gene expression data.pdf (283.55 kB)
Detection of cell-cyclic elements in mis-sampled gene expression data using a robust Capon estimator
conference contributionposted on 2010-02-05, 14:37 authored by Thomas 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.
- Mechanical, Electrical and Manufacturing Engineering
CitationBOWLES, 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
- AM (Accepted Manuscript)
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