Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology
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Published By Chapman And Hall/CRC

9781584885221, 9781420010626

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Combining genomic data in human studies

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.pt3 ◽

2009 ◽

pp. 201-211

Author(s):

Arul Chinnaiyan ◽

Daniel Rhodes ◽

Debashis Ghosh

Keyword(s):

Genomic Data ◽

Human Studies

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Gene trees, species trees, and species networks

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.ch17 ◽

2009 ◽

pp. 275-293 ◽

Cited By ~ 4

Author(s):

Luay Nakhleh ◽

Derek Ruths ◽

Hideki Innan

Keyword(s):

Gene Trees ◽

Species Trees

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Heterogeneity in meta-analysis of quantitative trait linkage studies

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.ch4 ◽

2009 ◽

pp. 49-65

Author(s):

Jeremie Lebrec ◽

Hans van Houwelingen

Keyword(s):

Quantitative Trait ◽

Meta Analysis ◽

Linkage Studies ◽

Quantitative Trait Linkage

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Data integration for the study of protein interactions

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.ch16 ◽

2009 ◽

pp. 259-274

Author(s):

Minghua Deng ◽

Fengzhu Sun ◽

Ting Chen ◽

Zhidong Tu ◽

Hyunju Lee

Keyword(s):

Data Integration ◽

Protein Interactions

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Comparison of meta-analysis to combined analysis of a replicated microarray study

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.ch9 ◽

2009 ◽

pp. 135-156

Author(s):

Ruth Luthi-Carter ◽

Darlene Goldstein ◽

Thierry Sengstag ◽

Mauro Delorenzi

Keyword(s):

Meta Analysis ◽

Combined Analysis ◽

Microarray Study

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References

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.bmatt ◽

2009 ◽

pp. 295-327

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A misclassification model for inferring transcriptional regulatory networks

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.ch15 ◽

2009 ◽

pp. 243-258

Author(s):

Hongyu Zhao ◽

Ning Sun

Keyword(s):

Regulatory Networks ◽

Transcriptional Regulatory Networks ◽

Transcriptional Regulatory

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An empirical Bayesian framework for QTL genome-wide scans

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.ch5 ◽

2009 ◽

pp. 67-80

Author(s):

Howard Wiener ◽

T Beasley ◽

Kui Zhang ◽

David Allison ◽

Christopher Amos

Keyword(s):

Bayesian Framework ◽

Empirical Bayesian ◽

Genome Wide

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Frequentist and Bayesian error pooling methods for enhancing statistical power in small sample microarray data analysis

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.ch7 ◽

2009 ◽

pp. 95-112

Author(s):

Michael O’Connell ◽

HyungJun Cho ◽

Jae Lee

Keyword(s):

Data Analysis ◽

Microarray Data ◽

Statistical Power ◽

Small Sample ◽

Microarray Data Analysis

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Front Matter

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology ◽

10.1201/9781420010626.fmatt ◽

2009 ◽

Download Full-text

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational BiologyLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Chapman And Hall/CRC

Combining genomic data in human studies

Gene trees, species trees, and species networks

Heterogeneity in meta-analysis of quantitative trait linkage studies

Data integration for the study of protein interactions

Comparison of meta-analysis to combined analysis of a replicated microarray study

References

A misclassification model for inferring transcriptional regulatory networks

An empirical Bayesian framework for QTL genome-wide scans

Frequentist and Bayesian error pooling methods for enhancing statistical power in small sample microarray data analysis

Front Matter

Meta-analysis and Combining Information in Genetics and Genomics - Chapman & Hall/CRC Mathematical & Computational Biology
Latest Publications