![]() Analysis of Microarray Data: A Network-Based Approach
ISBN: 978-3-527-31822-3
Hardcover
438 pages
April 2008
US $190.00
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Introduction to DNA Microarrays
Comparative Analysis of Clustering Methods for Microarray Data
Finding Verified Edges in Genetic/Gene Networks: Bilayer Verification for Network Recovery in the Presence
Computational Inference of Biological Causal Networks -
Analysis of Therapeutic Compound Effects
Reverse Engineering Gene Regulatory Networks with Various Machine Learning Methods
Statistical Methods for Inference of Genetic Networks and Regulatory Modules
A Model of Genetic Networks with Delayed Stochastic Dynamics
Probabilistic Boolean Networks as Models for Gene Regulation
Structural Equation for Identification of Genetic Networks
Detecting Pathological Pathways of a Complex Disease by a Comparative Analysis of Networks
Predicting Functional Modules Using Microarray and Protein Interaction Data
Computational Reconstruction of Transcriptional Regulatory Modules of the Yeast Cell Cycle
Pathway-Based Methods for Analyzing Microarray Data
The Most Probable Genetic Interaction Networks Inferred from Gene Expression Patterns
Comparative Analysis of Clustering Methods for Microarray Data
Finding Verified Edges in Genetic/Gene Networks: Bilayer Verification for Network Recovery in the Presence
Computational Inference of Biological Causal Networks -
Analysis of Therapeutic Compound Effects
Reverse Engineering Gene Regulatory Networks with Various Machine Learning Methods
Statistical Methods for Inference of Genetic Networks and Regulatory Modules
A Model of Genetic Networks with Delayed Stochastic Dynamics
Probabilistic Boolean Networks as Models for Gene Regulation
Structural Equation for Identification of Genetic Networks
Detecting Pathological Pathways of a Complex Disease by a Comparative Analysis of Networks
Predicting Functional Modules Using Microarray and Protein Interaction Data
Computational Reconstruction of Transcriptional Regulatory Modules of the Yeast Cell Cycle
Pathway-Based Methods for Analyzing Microarray Data
The Most Probable Genetic Interaction Networks Inferred from Gene Expression Patterns
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