Methods of Microarray Data Analysis V

• Corporate Author: SpringerLink (Online service)
• Other Authors: McConnell, Patrick (Editor), Lin, Simon M. (Editor), Hurban, Patrick (Editor)
• Format: Electronic eBook
• Language: English
• Published: Boston, MA : Springer US, 2007.
• Subjects: Life sciences.; Human genetics.; Biochemistry.; Proteomics.; Bioinformatics.; Biomathematics.; Statistics.; Life Sciences.; Biochemistry, general.; Human Genetics.; Statistics for Life Sciences, Medicine, Health Sciences.; Mathematical and Computational Biology.

Since the inception of microarrays, studies in this field have drastically evolved with analysis methods needing to advance in-step. The CAMDA conference plays a role in this ever-changing discipline by providing a forum in which investigators can analyze the same datasets using different methods. M...

Table of Contents:

• 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 Plasmodium falciparum.