/ edited by Patrick McConnell, Simon M. Lin, Patrick Hurban.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
New York
Name of Publisher, Distributor, etc.
: Springer Science+Business Media, LLC
Date of Publication, Distribution, etc.
, 2007.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xiii, 175 p.
Other Physical Details
: ill.
SERIES
Series Title
Springer series in materials science
Volume Designation
; v. 94.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index
CONTENTS NOTE
Text of Note
Cover -- TOC36;Contents -- Contributors -- Introduction -- Acknowledgements -- CH36;146; Data Mining of Malaria Parasite Gene Expression for Possible Translational Research -- CH36; Constructing Probabilistic Genetic Networks of Plasmodium falciparum from Dynamical Expression Signals of the Intraerythrocytic Development Cycle -- CH36;346; Simple Methods for Peak and Valley Detection in Time Series Microarray Data -- CH36;446; Oxidative Stress Genes in Plasmodium falciparum as Indicated by Temporal Gene Expression -- CH36;546; Identifying Stage45;Specific Genes by Combining Information from Two Different Types of Oligonucleotide Arrays -- CH36;646; Construction of Malaria Gene Expression Network Using Partial Correlations -- CH36;746; Detecting Network Motifs in Gene Co45;expression Networks Through Integration of Protein Domain Information -- CH36;846; Chromosomal Clustering of Periodically Expressed Genes in Plasmodium falciparum -- CH36;946; PlasmoTFBM58; An Intelligent Queriable Database for Predicted Transcription Factor Binding Motifs in Plasmodium falciparum -- CH36;1046; Linking Gene Expression Patterns and Transcriptional Regulation in Plasmodium falciparum -- CH36;1146; Chromosomal Spatial Correlation of Gene Expression in Plasmodium falciparum -- IDX36;Index -- Last Page
0
SUMMARY OR ABSTRACT
Text of Note
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 (Volume I), pattern recognition (Volume II), quality control issues (Volume III), and associating array data with a survival endpoint, lung cancer, (Volume 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