Articoli correlati a Statistical Diagnostics for Cancer: Analyzing High-Dimension...

Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data - Rilegato

 
9783527332625: Statistical Diagnostics for Cancer: Analyzing High-Dimensional Data

Sinossi

This ready reference discusses different methods for statistically analyzing and validating data created with high-throughput methods. As opposed to other titles, this book focusses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or less complex biological network. From a methodological point of view, the well balanced contributions describe a variety of modern supervised and unsupervised statistical methods applied to various large-scale datasets from genomics and genetics experiments. Furthermore, since the availability of sufficient computer power in recent years has shifted attention from parametric to nonparametric methods, the methods presented here make use of such computer-intensive approaches as Bootstrap, Markov Chain Monte Carlo or general resampling methods. Finally, due to the large amount of information available in public databases, a chapter on Bayesian methods is included, which also provides a systematic means to integrate this information. A welcome guide for mathematicians and the medical and basic research communities.

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

Informazioni sull?autore

Frank Emmert-Streib studied physics at the University of Siegen (Germany) and received his Ph.D. in Theoretical Physics from the University of Bremen (Germany). He was a postdoctoral research associate at the Stowers Institute for Medical Research (Kansas City, USA) in the Department for Bioinformatics and a Senior Fellow at the University of Washington (Seattle, USA) in the Department of Biostatistics and the Department of Genome Sciences. Currently, he is Lecturer/Assistant Professor at the Queen's University Belfast at the Center for Cancer Research and Cell Biology (CCRCB) leading the Computational Biology and Machine Learning Lab. His research interests are in the field of computational biology, machine learning and biostatistics in the development and application of methods from statistics and machine learning for the analysis of high-throughput data from genomics and genetics experiments.

Matthias Dehmer studied mathematics at the University of Siegen (Germany) and received his PhD in computer science from the Technical University of Darmstadt (Germany). Afterwards, he was a research fellow at Vienna Bio Center (Austria), Vienna University of Technology and University of Coimbra (Portugal). Currently, he is Professor at UMIT - The Health and Life Sciences University (Austria). His research interests are in bioinformatics, cancer analysis, chemical graph theory, systems biology, complex networks, complexity, statistics and information theory. In particular, he is also working on machine learning-based methods to design new data analysis methods for solving problems in computational biology and medicinal chemistry.

Dalla quarta di copertina

This ready reference discusses different methods for statistically analyzing and validating cancer data generated from high-throughput methods. In contrast to other titles, this book focuses on systems approaches, meaning that no single gene or protein forms the basis of the analysis but rather a more or
less complex biological network. Due to the complex nature of cancer, such approaches are very appropriate.

From a methodological point of view, the well-balanced contributions describe a variety of modern supervised and unsupervised statistical methods applied to various large-scale datasets from genomics and genetics experiments. Furthermore, since the availability of suffi cient computer power in the recent years has shifted attention from parametric to nonparametric methods, the methods presented here make use of such computer-intensive approaches such as Bootstrap, Markov Chain Monte Carlo or general resampling methods. Finally, Bayesian methods are discussed, because these are particularly useful for a systematic data integration. Thus, the book serves as a useful guide for methods-oriented scientists and the medical and basic research community.

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

  • EditoreBlackwell Pub
  • Data di pubblicazione2013
  • ISBN 10 3527332626
  • ISBN 13 9783527332625
  • RilegaturaCopertina rigida
  • LinguaInglese
  • Numero edizione1
  • Numero di pagine292
  • RedattoreEmmert-Streib Frank, Dehmer Matthias
  • Contatto del produttorenon disponibile

Compra usato

Condizioni: come nuovo
Like New
Visualizza questo articolo

EUR 29,66 per la spedizione da Regno Unito a Italia

Destinazione, tempi e costi

EUR 7,88 per la spedizione da U.S.A. a Italia

Destinazione, tempi e costi

Risultati della ricerca per Statistical Diagnostics for Cancer: Analyzing High-Dimension...

Foto dell'editore

Editore: John Wiley & Sons, 2013
ISBN 10: 3527332626 ISBN 13: 9783527332625
Nuovo Rilegato

Da: Books Puddle, New York, NY, U.S.A.

Valutazione del venditore 4 su 5 stelle 4 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: New. pp. 312. Codice articolo 2647989923

Contatta il venditore

Compra nuovo

EUR 126,79
Convertire valuta
Spese di spedizione: EUR 7,88
Da: U.S.A. a: Italia
Destinazione, tempi e costi

Quantità: 4 disponibili

Aggiungi al carrello

Foto dell'editore

Editore: John Wiley & Sons, 2013
ISBN 10: 3527332626 ISBN 13: 9783527332625
Nuovo Rilegato

Da: Majestic Books, Hounslow, Regno Unito

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: New. pp. 312. Codice articolo 44825468

Contatta il venditore

Compra nuovo

EUR 128,33
Convertire valuta
Spese di spedizione: EUR 10,50
Da: Regno Unito a: Italia
Destinazione, tempi e costi

Quantità: 4 disponibili

Aggiungi al carrello

Foto dell'editore

Dehmer Matthias
Editore: John Wiley & Sons, 2013
ISBN 10: 3527332626 ISBN 13: 9783527332625
Nuovo Rilegato

Da: Biblios, Frankfurt am main, HESSE, Germania

Valutazione del venditore 5 su 5 stelle 5 stelle, Maggiori informazioni sulle valutazioni dei venditori

Condizione: New. pp. 312. Codice articolo 1847989929

Contatta il venditore

Compra nuovo

EUR 131,85
Convertire valuta
Spese di spedizione: EUR 7,95
Da: Germania a: Italia
Destinazione, tempi e costi

Quantità: 4 disponibili

Aggiungi al carrello

Foto dell'editore

Editore: Wiley-Blackwell, 2013
ISBN 10: 3527332626 ISBN 13: 9783527332625
Antico o usato Rilegato

Da: dsmbooks, Liverpool, Regno Unito

Valutazione del venditore 4 su 5 stelle 4 stelle, Maggiori informazioni sulle valutazioni dei venditori

Hardcover. Condizione: Like New. Like New. book. Codice articolo D7F7-3-M-3527332626-6

Contatta il venditore

Compra usato

EUR 202,87
Convertire valuta
Spese di spedizione: EUR 29,66
Da: Regno Unito a: Italia
Destinazione, tempi e costi

Quantità: 1 disponibili

Aggiungi al carrello