Spectral analysis of microarray gene expression time series data of Plasmodium falciparum.

@article{citeulike:3035627, abstract = {We propose a new strategy to analyse the periodicity of gene expression profiles using Singular Spectrum Analysis (SSA) and Autoregressive (AR) model based spectral estimation. By combining the advantages of SSA and AR modelling, more periodic genes are extracted in the Plasmodium falciparum data set, compared with the classical Fourier analysis technique. We are able to identify more gene targets for new drug discovery, and by checking against the seven well-known malaria vaccine candidates, we have found five additional genes that warrant further biological verification.}, address = {Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong; School of Information Engineering, University of Science and Technology, Beijing 100083, China.}, author = {Du, L. and Wu, S. and Liew, A. W. and Smith, D. K. and }, citeulike-article-id = {3035627}, issn = {1744-5485}, journal = {International journal of bioinformatics research and applications}, keywords = {bioinformatics, malaria, microarray}, number = {3}, pages = {337--349}, posted-at = {2008-07-23 03:27:40}, priority = {2}, title = {Spectral analysis of microarray gene expression time series data of Plasmodium falciparum.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/18640908}, volume = {4}, year = {2008} }

TY - JOUR ID - citeulike:3035627 L3 - citeulike-article-id:3035627 TI - Spectral analysis of microarray gene expression time series data of Plasmodium falciparum. JF - International journal of bioinformatics research and applications VL - 4 IS - 3 SP - 337 EP - 349 AD - Department of Electronic Engineering, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong; School of Information Engineering, University of Science and Technology, Beijing 100083, China. SN - 1744-5485 N2 - We propose a new strategy to analyse the periodicity of gene expression profiles using Singular Spectrum Analysis (SSA) and Autoregressive (AR) model based spectral estimation. By combining the advantages of SSA and AR modelling, more periodic genes are extracted in the Plasmodium falciparum data set, compared with the classical Fourier analysis technique. We are able to identify more gene targets for new drug discovery, and by checking against the seven well-known malaria vaccine candidates, we have found five additional genes that warrant further biological verification. KW - bioinformatics KW - malaria KW - microarray AU - Du, L AU - Wu, S AU - Liew, AW AU - Smith, DK PY - 2008/// UR - http://view.ncbi.nlm.nih.gov/pubmed/18640908 ER -