Independent arrays or independent time courses for gene expression time series

@article{Kim2005IndependentAO,
  title={Independent arrays or independent time courses for gene expression time series},
  author={Sookjeong Kim and Seungjin Choi},
  journal={2005 IEEE International Symposium on Circuits and Systems},
  year={2005},
  pages={5886-5889 Vol. 6}
}
We apply three different independent component analysis (ICA) methods, spatial ICA (sICA), temporal ICA (tICA), and spatiotemporal ICA (stICA), to gene expression time series data and compare their performance in clustering genes and in finding biologically meaningful modes. Only spatial ICA was applied to gene expression data previously (Lee, S. and Batzoglou, S., Advances in Neural Information Processing Systems, vol.16, 2004; Liebermeister, W., Bioinformatics, vol.18, no.1, p.51-60, 2002… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

References

Publications referenced by this paper.
SHOWING 1-10 OF 10 REFERENCES

Similar Papers

Loading similar papers…