Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics (Hardcover)

Lingua: inglese

Editore: Oxford University Press, Oxford, 2014

0198709021 / 9780198709022

Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

Venditore con 5 stelle

Venditore AbeBooks dal 12 ottobre 2005

Rilegato

Condizione: Nuovo

EUR 179,42

 Spedizione gratuita 
Spedito in U.S.A.

Quantità: 1 disponibile

Aggiungi al carrello
Resi gratuiti per 30 giorni

Descrizione dell’articolo da parte del venditore

Hardcover. 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 apowerful formalism to discover complex networks of relations.These models are also amenable to incorporating a priori biological information. Network reconstruction from geneexpression 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 designof 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, thisis 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. At the crossroads between statistics and machine learning, probabilistic graphical models (PGMs) provide a powerful formal framework to model complex data. An expanding volume of biological data of various types, the so-called 'omics', is in need of accurate and efficient methods for modelling and PGMs are expected to have a prominent role to play. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Codice articolo 9780198709022

Titolo
Probabilistic Graphical Models for Genetics, Genomics, and Postgenomics (Hardcover)
Autore
Christine Sinoquet
Editore
Oxford University Press, Oxford
Anno di pubblicazione
2014
Condizione
new
Rilegatura
Hardcover
Lingua
inglese
ISBN 10
0198709021
ISBN 13
9780198709022

Grand Eagle Retail

Bensenville, IL, U.S.A.

Venditore con 5 stelle

Venditore AbeBooks dal 12 ottobre 2005

Tariffe di spedizione nazionale per U.S.A.

ArticoloDa 6 a 14 giorni lavorativiDa 6 a 16 giorni lavorativi
Primo articoloEUR 0,00EUR 0,00
I tempi di consegna sono stabiliti dai venditori e variano in base al corriere e al paese. Gli ordini che devono attraversare una dogana possono subire ritardi e spetta agli acquirenti pagare eventuali tariffe o dazi associati. I venditori possono contattarti in merito ad addebiti aggiuntivi dovuti a eventuali maggiorazioni dei costi di spedizione dei tuoi articoli.

Metodi di pagamento

  • Visa
  • Mastercard
  • American Express
  • Carte Bleue
  • Apple Pay
  • Google Pay

Informazioni sull’azienda del venditore

APOLLO ONLINE CORP.

605 Geddes Street
Wilmington, DE U.S.A. 19805