عنوان

Probabilistic graphical models for genetics, genomics, and postgenomics

(Number (ISBN

978-0-19-870902-2

Country Code

IR

Number

480197

.Language of Text, Soundtrack etc

انگلیسی

Country of publication

IR

Title Proper

Probabilistic graphical models for genetics, genomics, and postgenomics

General Material Designation

[Book]

First Statement of Responsibility

/ Edited by Christine Sinoquet, editor-in-chief, and Raphael Mourad, editor

Edition Statement

First edition

Place of Publication, Distribution, etc.

Oxford

Name of Publisher, Distributor, etc.

: Oxford University Press

Date of Publication, Distribution, etc.

, 2014

Specific Material Designation and Extent of Item

xxvii, 449 p., 4 unnumbered pages of plates

Other Physical Details

: illustrations (some color)

Dimensions

; 25 cm

Text of Note

English

Text of Note

Includes bibliographical references and index

Text of Note

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 -- Dete

Genomics -- Statistical methods

Genetics -- Statistical methods

Graphical modeling (Statistics)

Computational Biology -- methods

Models, Genetic

Models, Statistical

Genomics -- methods

Bayes Theorem

Computer Simulation

Genetics--Mathematical models

Class number

Book number

Sinoquet, Christine, editor

Mourad, Raphael, editor

Country

Iran

Agency

University of Tehran. Kish International Campus

Old cataloging

p

BL

1

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