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| LEADER |
02661nam a2200217 a 4500 |
| 001 |
1874116 |
| 005 |
20171111234655.0 |
| 008 |
160919s2014 enka b 001 0 eng d |
| 020 |
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|a 9780198709022
|q hbk.
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| 040 |
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|a CY-NiOUC
|b eng
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| 050 |
0 |
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|a QH438.4.S73P76 2014
|
| 245 |
0 |
0 |
|a Probabilistic graphical models for genetics, genomics, and postgenomics /
|c edited by Christine Sinoquet, editor-in-chief, and RaphaeÌ̂l Mourad, editor.
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| 260 |
|
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|a Oxford :
|b Oxford University Press,
|c 2014
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| 300 |
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|a xxvii, 449 pages, 4 unnumbered pages of plates :
|b illustrations (some color) ;
|c 25 cm.
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| 504 |
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|a Includes bibliographical references and index.
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| 505 |
0 |
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|a pt. I. Introduction -- Probabilistic graphical models for next-generation genomics and genetics -- Essentials to understand probabilistic graphical models : a tutorial about inference and learning -- pt. II. Gene expression -- Graphical models and multivariate analysis of microarray data -- Comparison of mixture Bayesian and mixture regression approaches to infer gene networks -- Network inference in breast cancer with Gaussian graphical models and extensions -- pt. III. Causality discovery -- Utilizing genotypic information as a prior for learning gene networks -- Bayesian causal phenotype network incorporating genetic variation and biological knowledge -- Structural equation models for studying causal phenotype networks in quantitative genetics -- pt. IV. Genetic association studies -- Modeling linkage disequilibrium and performing association studies through probabilistic graphical models : a visiting tour of recent advances -- Modeling linkage disequilibrium with decomposable graphical models -- Scoring, searching and evaluating Bayesian network models of gene-phenotype association -- Graphical modeling of biological pathways in genome-wide association studies -- Bayesian systems-based, multilevel analysis of associations for complex phenotypes : from interpretation to decision -- pt. V. Epigenetics -- Bayesian networks in the study of genome-wide DNA methylation -- Latent variable models for analyzing DNA methylation -- pt. VI. Detection of copy number variations -- Detection of copy number variations from array comparative genomic hybridization data using linear-chain conditional random field models -- pt. VII. Prediction of outcomes from high-dimensional genomic data -- Prediction of clinical outcomes from genome-wide data.
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| 650 |
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0 |
|a Genomics
|x Statistical methods
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| 650 |
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0 |
|a Genetics
|x Statistical methods
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| 700 |
1 |
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|a Sinoquet, Christine
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| 700 |
1 |
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|a Mourad, RaphaeÌ̂l
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| 952 |
|
|
|a CY-NiOUC
|b 5a0461dd6c5ad14ac1ee6199
|c 998a
|d 945l
|e QH438.4.S73P76 2014
|t 1
|x m
|z Books
|
