Imaging Genetics The MICCAI Society book Series 1st Edition by Adrian Dalca, Kayhan Batmanghelich, Mert Sabuncu, Li Shen 0128139684 9780128139684

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Product details:

ISBN 10: 0128139684

ISBN 13: 9780128139684

Author: Adrian Dalca, Kayhan Batmanghelich, Mert Sabuncu, Li Shen

Imaging Genetics The MICCAI Society book Series 1st Table of contents:

Chapter One. Multisite Metaanalysis of Image-Wide Genome-Wide Associations With Morphometry

1. Introduction

2. Methods

3. Results

4. Discussion

Chapter Two. Genetic Connectivity–Correlated Genetic Control of Cortical Thickness, Brain Volume, and White Matter

1. Aims

2. Methods

3. Results

4. Conclusions

Glossary

Chapter Three. Integration of Network-Based Biological Knowledge With White Matter Features in Preterm Infants Using the Graph-Guided Group Lasso

1. Background and Aims

2. Graph-Guided Group Lasso

3. Analysis

4. Results

5. Conclusions

Chapter Four. Classifying Schizophrenia Subjects by Fusing Networks From Single-Nucleotide Polymorphisms, DNA Methylation, and Functional Magnetic Resonance Imaging Data

1. Introduction

2. Materials and Methods

3. Results and Discussions

4. Conclusions

Chapter Five. Genetic Correlation Between Cortical Gray Matter Thickness and White Matter Connections

1. Aims

2. Methods

3. Results

4. Conclusion

Chapter Six. Bootstrapped Sparse Canonical Correlation Analysis: Mining Stable Imaging and Genetic Associations With Implicit Structure Learning

1. Introduction

2. Bootstrapped Sparse Canonical Correlation Analysis

3. Experimental Results

4. Conclusions

Chapter Seven. A Network-Based Framework for Mining High-Level Imaging Genetic Associations

1. Introduction

2. Methods and Materials

3. Results and Discussions

4. Conclusions

Chapter Eight. Bayesian Feature Selection for Ultrahigh Dimensional Imaging Genetics Data

1. Introduction

2. Model Specification

3. Multilevel Bayesian Feature Selection Framework

4. Alzheimer’s Disease Neuroimaging Initiative

5. Discussion

Chapter Nine. Continuous Inflation Analysis: A Threshold-Free Method to Estimate Genetic Overlap and Boost Power in Imaging Genetics

1. Introduction

2. Methods

3. Results

4. Conclusions

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Adrian Dalca,Kayhan Batmanghelich,Mert Sabuncu,Li Shen,Imaging