Methods of Microarray Data Analysis III Papers from CAMDA’ 02 /

As microarray technology has matured, data analysis methods have advanced as well. Methods Of Microarray Data Analysis III is the third book in this pioneering series dedicated to the existing new field of microarrays. While initial techniques focused on classification exercises (volume I of this se...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Johnson, Kimberly F. (Επιμελητής έκδοσης), Lin, Simon M. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Boston, MA : Springer US, 2003.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Tutorials
  • The Biology behind Gene Expression: A Basic Tutorial
  • Monitoring the Quality of Microarray Experiments
  • Outliers in Microarray Data Analysis
  • Best Presentation Award
  • Organ-Specific Differences in Gene Expression and Unigene Annotations Describing Source Material
  • Analyzing Images
  • Characterization, Modeling, and Simulation of Mouse Microarray Data
  • Topological Adjustments to Genechip Expression Values
  • Normalizing Raw Data
  • Comparison of Normalization Methods for cDNA Microarrays
  • Characterizing Technical and Biological Variance
  • Simultaneous Assessment of Transcriptomic Variability and Tissue Effects in the Normal Mouse
  • How Many Mice and How Many Arrays? Replication in Mouse cDNA Microarray Experiments
  • Bayesian Characterization of Natural Variation in Gene Expression
  • Investigating Cross Hybridization on Oligonucleotide Microarrays
  • Quantification of Cross Hybridization on Oligonucleotide Microarrays
  • Assessing the Potential Effect of Cross-Hybridization on Oligonucleotide Microarrays
  • Who Are Those Strangers in the Latin Square?
  • Finding Patterns and Seeking Biological Explanations
  • Bayesian Decomposition Classification of the Project Normal Data Set
  • The Use of Go Terms to Understand the Biological Significance of Microarray Differential Gene Expression Data.