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Detection of cell-cyclic elements in mis-sampled gene expression data using a robust Capon estimator

Bowles, Thomas; Jakobsson, Andreas LU and Chambers, Jonathon A. (2004) IEEE International Conference on Acoustics, Speech and Signal Processing, 2004 In 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing 5. p.417-420
Abstract
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. We propose estimating the frequency content of microarray data using the recent robust Capon estimator, and formulate a suitable uncertainty region over which to minimize. The estimator is shown to yield robust estimates with real microarray... (More)
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. We propose estimating the frequency content of microarray data using the recent robust Capon estimator, and formulate a suitable uncertainty region over which to minimize. 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 (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
cancer, cellular biophysics, DNA, estimation theory, genetics, parameter estimation, cell-cyclic elements detection, mis-sampled gene expression data, robust Capon estimator, frequency content, cell-cycle regulation, genetic regulatory processes, cDNA microarray experiments, minimization, eriodogram, Capon spectral estimator
in
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing
volume
5
pages
417 - 420
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Acoustics, Speech and Signal Processing, 2004
external identifiers
  • scopus:4544375199
ISBN
0 7803 8484 9
language
English
LU publication?
no
id
df5389ef-eea6-4b40-87cd-26b2b55ab27d (old id 1217990)
date added to LUP
2008-10-06 16:02:00
date last changed
2017-06-04 04:38:45
@inproceedings{df5389ef-eea6-4b40-87cd-26b2b55ab27d,
  abstract     = {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. We propose estimating the frequency content of microarray data using the recent robust Capon estimator, and formulate a suitable uncertainty region over which to minimize. 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},
  author       = {Bowles, Thomas and Jakobsson, Andreas and Chambers, Jonathon A.},
  booktitle    = {2004 IEEE International Conference on Acoustics, Speech, and Signal Processing},
  isbn         = {0 7803 8484 9},
  keyword      = {cancer,cellular biophysics,DNA,estimation theory,genetics,parameter estimation,cell-cyclic elements detection,mis-sampled gene expression data,robust Capon estimator,frequency content,cell-cycle regulation,genetic regulatory processes,cDNA microarray experiments,minimization,eriodogram,Capon spectral estimator},
  language     = {eng},
  pages        = {417--420},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Detection of cell-cyclic elements in mis-sampled gene expression data using a robust Capon estimator},
  volume       = {5},
  year         = {2004},
}