Contributors.- Introduction.- Acknowledgements.- Data Mining of Malaria Parasite Gene Expression for Possible Translational Research.- Constructing Probabilistic Genetic Networks of Plasmodium falciparum from Dynamical Expression Signals of the Intraerythrocytic Development Cycle.- Simple Methods for peak and Valley Detection in Time Series Microarray Data.- Oxidative Stress Genes in Plasmodium falciparum as Indicated by Temporal Gene Expression.- Identifying Stage-Specific Genes by Combining Information from Two Different Types of Oligonucleotide Arrays.- Construction of Malaria Gene Expression Network using Partial Correlations.- Detecting Network Motifs in Gene Co-Expression Networks through Integration of Protein Domain Information.- Chromosomal Clustering of Periodically Expressed Genes in Plasmodium Falciparum.- PlasmoTFBM: An Intelligent Queriable Database for Predicted Transcription Factor Binding Motifs in Plasmodium Falciparum.- Linking Gene Expression Patterns and Transcriptional Regulation in Plasmodium falciparum.- Chromosomal Spatial Correlation of Gene Expression in P. Falciparum.- Index.
This book is dedicated solely to the analysis of microarray data. Its unique approach of presenting different methods by analyzing the same data set shows the strengths and weakness of each method. Part of the book is devoted to review papers, which provide a more general look at various analytical approaches. It also presents some background readings for the advanced topics discussed in the CAMDA papers.