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E-raamat: Methods of Microarray Data Analysis V

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  • Formaat: PDF+DRM
  • Ilmumisaeg: 24-Feb-2007
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9780387345697
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Methods of Microarray Data Analysis VSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 24-Feb-2007
  • Kirjastus: Springer-Verlag New York Inc.
  • Keel: eng
  • ISBN-13: 9780387345697
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As studies using microarray technology have evolved, so have the data analysis methods used to analyze these experiments. The CAMDA (Critical Assessment of Microarray Data Analysis) conference was the first to establish a forum for a cross section of researchers to look at a common data set and apply innovative analytical techniques to microarray data. Methods of Microarray Analysis V includes selected papers from CAMDA'04, and focuses on data sets relating to a significant global health issue, malaria. Previous books focused on classification (V. I), pattern recognition (V. II), quality control issues (V. III), and associating array data with a survival endpoint, lung cancer, (V. IV). The contributions come from research fields including statistics, biology, computer science and mathematics. 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.
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.
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