Author:
Edition: 1
Publisher: Wiley-Blackwell
Binding: Hardcover
ISBN: 3527318224
Analysis of Microarray Data
This book is the first to focus on the application of mathematical networks for analyzing microarray data. Medical books Analysis of Microarray Data. This method goes well beyond the standard clustering methods traditionally used Medical books Analysis Of Microarray Data: A Network-based Approach Dehmer, Matthias/ Emmert-s. format hardback language english publication year 13 02 2008 subject mathematics sciences subject 2 life sciences general title analysis of microarray data a network based approach author dehmer matthias emmert streib frank publisher vch verlagsgesellschaft mbh publication date apr 18 2008 pages 418 binding hardcover edition 1 st dimensions 7 00 wx 9 50 hx 1 00 d isbn 3527318224 subject medical biochemistry description this book is the first to focus on the application of mathematical networks
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format hardback language english publication year 13 02 2008 subject mathematics sciences subject 2 life sciences general title analysis of microarray data a network based approach author dehmer matthias emmert streib frank publisher vch verlagsgesellschaft mbh publication date apr 18 2008 pages 418 binding hardcover edition 1 st dimensions 7 00 wx 9 50 hx 1 00 d isbn 3527318224 subject medical biochemistry description this book is the first to focus on the application of mathematical networks
Store Search search Title, ISBN and Author Analysis of Microarray Data: A Network-Based Approach by Matthias Dehmer Estimated delivery 3-12 business days Format Hardcover Condition Brand New This book is the first to focus on the application of mathematical networks for analyzing microarray data. This method goes well beyond the standard clustering methods traditionally used. Publisher Description This book is the first to focus on the application of mathematical networks for analyzing microarr
This Book is the first to focus on the application of Mathematical networks for analyzing microarraIntroduction to Dna Microarrays Comparative Analysis of Clustering Methods for Microarray Data Finding
Microarray technology is arguably the most important recent breakthrough in molecular biology. It enables researchers to obtain snapshots of gene expression for all the genes in a genome in a single experiment. Microarray experiments generate massive amounts of data that can be analysed to extract new knowledge about the underlying biological processes. This guide covers aspects of designing microarray experiments and analysing the data generated, and includes information on some of the tools that are available from non-commercial sources. Concepts and principles underpinning gene expression a
Medical Book Analysis of Microarray Data
This method goes well beyond the standard clustering methods traditionally used.
From the contents:
* Understanding and Preprocessing Microarray Data
* Clustering of Microarray Data
* Reconstruction of the Yeast Cell Cycle by Partial Correlations of Higher Order
* Bilayer Verification Algorithm
* Probabilistic Boolean Networks as Models for Gene Regulation
* Estimating Transcriptional Regulatory Networks by a Bayesian Network
* Analysis of Therapeutic Compound Effects
* Statistical Methods for Inference of Genetic Networks and Regulatory Modules
* Identification of Genetic Networks by Structural Equations
* Predicting Functional Modules Using Microarray and Protein Interaction Data
* Integrating Results from Literature Mining and Microarray Experiments to Infer Gene Networks
The book is for both, scientists using the technique as well as those developing new analysis techniques.
