Probabilistic Graphical Models for Genetics, Genomics and Postgenomics

Valutazione media 5
( su 1 valutazioni fornite da Goodreads )
 
9780198709022: Probabilistic Graphical Models for Genetics, Genomics and Postgenomics

Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity.

These data will only allow insights into this wealth of so-called 'omics' data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning, probabilistic graphical models (PGMs) represent a powerful formalism to discover complex networks of relations.

These models are also amenable to incorporating a priori biological information. Network reconstruction from gene expression data represents perhaps the most emblematic area of research where PGMs have been successfully applied. However these models have also created renewed interest in genetics in the broad sense, in particular regarding association genetics, causality discovery, prediction of outcomes, detection of copy number variations, and epigenetics. This book provides an overview of the applications of PGMs to genetics, genomics and postgenomics to meet this increased interest.

A salient feature of bioinformatics, interdisciplinarity, reaches its limit when an intricate cooperation between domain specialists is requested. Currently, few people are specialists in the design of advanced methods using probabilistic graphical models for postgenomics or genetics. This book deciphers such models so that their perceived difficulty no longer hinders their use and focuses on fifteen illustrations showing the mechanisms behind the models.

Probabilistic Graphical Models for Genetics, Genomics and Postgenomics covers six main themes:
(1) Gene network inference
(2) Causality discovery
(3) Association genetics
(4) Epigenetics
(5) Detection of copy number variations
(6) Prediction of outcomes from high-dimensional genomic data.

Written by leading international experts, this is a collection of the most advanced work at the crossroads of probabilistic graphical models and genetics, genomics, and postgenomics. The self-contained chapters provide an enlightened account of the pros and cons of applying these powerful techniques.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

About the Author:


Raphael Mourad, Post-doctoral Research Fellow, Department of Human Genetics, University of Chicago

Christine Sinoquet is an Associate Professor in Computer Science at the University of Nantes, France, where she works in the area of bioinformatics and computational biology at the Computer Science Institute of Nantes-Atlantic. She holds a M.Sc. in Computer Science from the University of Rennes 1 and received her Ph.D. in Computer Science from this same institution. During her Ph.D. position at the Inria Centre of Rennes, she specialized in bioinformatics. She has initiated two Master degree programs in bioinformatics (University of Clermont, France, and Nantes). She currently serves as the Head of this second Master degree program since 2005. Her research activities have been focused on various topics including data correction prior to molecular phylogeny inference, motif discovery in biological sequences, comparative genomics and imputation of missing genotypic data. Her current research interests are algorithmic and machine learning aspects of complex data analysis in the biomedical field.

Raphael Mourad received his PhD from the University of Nantes in september 2011. His first postdoc (2011-2012) was at the Lang Li lab, Center for Computational Biology and Bioinformatics, Indiana University Purdue University of Indianapolis (IUPUI). He notably worked on the genome-wide analysis of chromatin interactions. His second postdoc (2012-2013) was at the Carole Ober Laboratory and Dan Nicolae Laboratory, Department of Human Genetics, University of Chicago. He worked on whole-genome sequencing data in asthma. As from november 2013, he started a third postdoc at the LIRMM, in Montpellier (France) which deals with the bioinformatics of HIV.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

I migliori risultati di ricerca su AbeBooks

1.

Editore: Oxford University Press (2014)
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Rilegato Quantità: 1
Da
Irish Booksellers
(Rumford, ME, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Oxford University Press, 2014. Hardcover. Condizione libro: New. book. Codice libro della libreria 0198709021

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 69,99
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
In U.S.A.
Destinazione, tempi e costi

2.

Editore: Oxford University Press (2014)
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Rilegato Quantità: 2
Da
Murray Media
(North Miami Beach, FL, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Oxford University Press, 2014. Hardcover. Condizione libro: New. Codice libro della libreria P110198709021

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 79,97
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 2,57
In U.S.A.
Destinazione, tempi e costi

3.

Editore: Oxford University Press, United Kingdom (2015)
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Rilegato Quantità: 10
Da
The Book Depository US
(London, Regno Unito)
Valutazione libreria
[?]

Descrizione libro Oxford University Press, United Kingdom, 2015. Hardback. Condizione libro: New. Language: English . Brand New Book. Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-called omics data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning, probabilistic graphical models (PGMs) represent a powerful formalism to discover complex networks of relations. These models are also amenable to incorporating a priori biological information. Network reconstruction from gene expression data represents perhaps the most emblematic area of research where PGMs have been successfully applied. However these models have also created renewed interest in genetics in the broad sense, in particular regarding association genetics, causality discovery, prediction of outcomes, detection of copy number variations, and epigenetics. This book provides an overview of the applications of PGMs to genetics, genomics and postgenomics to meet this increased interest. A salient feature of bioinformatics, interdisciplinarity, reaches its limit when an intricate cooperation between domain specialists is requested. Currently, few people are specialists in the design of advanced methods using probabilistic graphical models for postgenomics or genetics. This book deciphers such models so that their perceived difficulty no longer hinders their use and focuses on fifteen illustrations showing the mechanisms behind the models. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics covers six main themes: (1) Gene network inference (2) Causality discovery (3) Association genetics (4) Epigenetics (5) Detection of copy number variations (6) Prediction of outcomes from high-dimensional genomic data. Written by leading international experts, this is a collection of the most advanced work at the crossroads of probabilistic graphical models and genetics, genomics, and postgenomics. The self-contained chapters provide an enlightened account of the pros and cons of applying these powerful techniques. Codice libro della libreria AOP9780198709022

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 85,49
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: Regno Unito a: U.S.A.
Destinazione, tempi e costi

4.

Editore: Oxford University Press, United Kingdom (2015)
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Rilegato Quantità: 10
Da
The Book Depository
(London, Regno Unito)
Valutazione libreria
[?]

Descrizione libro Oxford University Press, United Kingdom, 2015. Hardback. Condizione libro: New. Language: English . Brand New Book. Nowadays bioinformaticians and geneticists are faced with myriad high-throughput data usually presenting the characteristics of uncertainty, high dimensionality and large complexity. These data will only allow insights into this wealth of so-called omics data if represented by flexible and scalable models, prior to any further analysis. At the interface between statistics and machine learning, probabilistic graphical models (PGMs) represent a powerful formalism to discover complex networks of relations. These models are also amenable to incorporating a priori biological information. Network reconstruction from gene expression data represents perhaps the most emblematic area of research where PGMs have been successfully applied. However these models have also created renewed interest in genetics in the broad sense, in particular regarding association genetics, causality discovery, prediction of outcomes, detection of copy number variations, and epigenetics. This book provides an overview of the applications of PGMs to genetics, genomics and postgenomics to meet this increased interest. A salient feature of bioinformatics, interdisciplinarity, reaches its limit when an intricate cooperation between domain specialists is requested. Currently, few people are specialists in the design of advanced methods using probabilistic graphical models for postgenomics or genetics. This book deciphers such models so that their perceived difficulty no longer hinders their use and focuses on fifteen illustrations showing the mechanisms behind the models. Probabilistic Graphical Models for Genetics, Genomics and Postgenomics covers six main themes: (1) Gene network inference (2) Causality discovery (3) Association genetics (4) Epigenetics (5) Detection of copy number variations (6) Prediction of outcomes from high-dimensional genomic data. Written by leading international experts, this is a collection of the most advanced work at the crossroads of probabilistic graphical models and genetics, genomics, and postgenomics. The self-contained chapters provide an enlightened account of the pros and cons of applying these powerful techniques. Codice libro della libreria AOP9780198709022

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 85,52
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
Da: Regno Unito a: U.S.A.
Destinazione, tempi e costi

5.

ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Quantità: > 20
Da
BWB
(Valley Stream, NY, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Condizione libro: New. Depending on your location, this item may ship from the US or UK. Codice libro della libreria 97801987090220000000

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 91,24
Convertire valuta

Aggiungere al carrello

Spese di spedizione: GRATIS
In U.S.A.
Destinazione, tempi e costi

6.

Christine Sinoquet (other), Raphaël Mourad (editor)
Editore: OUP Oxford 2014-09-18, Oxford (2014)
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Rilegato Quantità: 5
Da
Blackwell's
(Oxford, OX, Regno Unito)
Valutazione libreria
[?]

Descrizione libro OUP Oxford 2014-09-18, Oxford, 2014. hardback. Condizione libro: New. Codice libro della libreria 9780198709022

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 88,39
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 3,36
Da: Regno Unito a: U.S.A.
Destinazione, tempi e costi

7.

Sinoquet, Christine
Editore: OUP Oxford (2014)
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Quantità: > 20
Da
Books2Anywhere
(Fairford, GLOS, Regno Unito)
Valutazione libreria
[?]

Descrizione libro OUP Oxford, 2014. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria FU-9780198709022

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 85,66
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 10,08
Da: Regno Unito a: U.S.A.
Destinazione, tempi e costi
Edizione Internazionale
Edizione Internazionale

8.

SINOQUET
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Rilegato Quantità: 5
Edizione Internazionale
Da
LINDABOOK
(Taipei, TP, Taiwan)
Valutazione libreria
[?]

Descrizione libro Hardcover. Condizione libro: New. International Edition. Ship out 1 business day,Brand Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee within USA, canada, Most Europe country, Australia,k International Edition. Codice libro della libreria ABE-10217710057

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 93,47
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 8,50
Da: Taiwan a: U.S.A.
Destinazione, tempi e costi

9.

SINOQUET
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Rilegato Quantità: 5
Da
LINDABOOK
(Taipei, TP, Taiwan)
Valutazione libreria
[?]

Descrizione libro Hardcover. Condizione libro: New. Ship out 1 business day,brand new,US edition, Free tracking number usually 2-4 biz days delivery to worldwide Same shipping fee with US, Canada,Europe country, Australia, item will ship out from either LA or Asia,k. Codice libro della libreria ABE-10736820417

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 93,49
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 8,50
Da: Taiwan a: U.S.A.
Destinazione, tempi e costi

10.

Editor Raphael Mourad
Editore: Oxford University Press
ISBN 10: 0198709021 ISBN 13: 9780198709022
Nuovi Quantità: > 20
Da
INDOO
(Avenel, NJ, U.S.A.)
Valutazione libreria
[?]

Descrizione libro Oxford University Press. Condizione libro: New. Brand New. Codice libro della libreria 0198709021

Maggiori informazioni su questa libreria | Fare una domanda alla libreria

Compra nuovo
EUR 104,71
Convertire valuta

Aggiungere al carrello

Spese di spedizione: EUR 3,01
In U.S.A.
Destinazione, tempi e costi

Vedi altre copie di questo libro

Vedi tutti i risultati per questo libro