Brand New, Unread Copy in Perfect Condition. A+ Customer Service! Summary: Introduction to DNA Microarrays Comparative Analysis of Clustering Methods for Microarray Data Finding Verified Edges in Genetic/Gene Networks: Bilayer Verification for Network Recovery in the Presence Computational Inference of Biological Causal Networks ? Analysis of Therapeutic Compound Effects Reverse Engineering Gene Regulatory Networks with Various Machine Learning Methods Statistical Methods for Inference of Genetic Networks and Regulatory Modules A Model of Genetic Networks with Delayed Stochastic Dynamics Probabilistic Boolean Networks as Models for Gene Regulation Structural Equation for Identification of Genetic Networks Detecting Pathological Pathways of a Complex Disease by a Comparative Analysis of Networks Predicting Functional Modules Using Microarray and Protein Interaction Data Computational Reconstruction of Transcriptional Regulatory Modules of the Yeast Cell Cycle Pathway-Based Methods for Analyzing Microarray Data The Most Probable Genetic Interaction Networks Inferred from Gene Expression Patterns. Codice inventario libreria
Riassunto: 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.
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.
About the Author:
Frank Emmert-Streib studied physics at the University of Siegen, Germany, and received his PhD in Theoretical Physics from the University of Bremen, Germany. He is currently Senior Fellow at the University of Washington in Seattle, USA, in Biostatistics and Genome Sciences.
Matthias Dehmer studied mathematics at the University of Siegen, Germany, and received his PhD in Computer Science from the Technical University of Darmstadt, Germany. Currently, he holds a research position at Vienna University of Technology, Institute of Discrete Mathematics and Geometry in Vienna, Austria.
Condizione libro: New
Descrizione libro Wiley-VCH, 2008. Condizione libro: Very Good. 1st Edition. Ships from the UK. Former Library book. Great condition for a used book! Minimal wear. Codice libro della libreria GRP88984732
Descrizione libro Condizione libro: Good. [ No Hassle 30 Day Returns ][ Ships Daily ] [ Underlining/Highlighting: NONE ] [ Writing: NONE ] [ Edition: first ] Publisher: Wiley-Blackwell Pub Date: 3/17/2008 Binding: Hardcover Pages: 438 first edition. Codice libro della libreria 5632572
Descrizione libro Wiley-Blackwell. Hardcover. Condizione libro: Good. 3527318224 - looks almost new - -Choose Expedited Shipping for fastest delivery! Used Texts May Have Used Book Stickers on the Cover. Free USPS Tracking Number. Used texts may NOT contain supplemental materials such as CD's, info-trac, access codes, etc. Satisfaction Guaranteed! (Hawaii,Alaska, Puerto Rico and APO's, allow additional time for delivery.). Codice libro della libreria Z3527318224Z3
Descrizione libro Wiley-Blackwell, 2008. Hardcover. Condizione libro: Good. Item may show signs of shelf wear. Pages may include limited notes and highlighting. Includes supplemental or companion materials if applicable. Access codes may or may not work. Connecting readers since 1972. Customer service is our top priority. Codice libro della libreria mon0000577052
Descrizione libro Wiley-VCH Verlag GmbH, Germany, 2008. Hardcover. Condizione libro: Good. HARDCOVER Legendary independent bookstore online since 1994. Reliable customer service and no-hassle return policy. Science and Mathematics>Chemistry>Biochemistry. Book: USED, Good. Bookseller Inventory # 01978352731822300. Codice libro della libreria 01978352731822300
Descrizione libro Wiley-VCH, 2008. Hardcover. Condizione libro: Used: Good. Codice libro della libreria SONG3527318224
Descrizione libro Wiley VCH, 2008. HRD. Condizione libro: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Codice libro della libreria FW-9783527318223
Descrizione libro Condizione libro: New. Condizione sovraccoperta: New. Shipped promptly and delivered within 3 to 5 working days. For PO BOX, APO, FPO and Puerto Rico addresses delivery done in 20 to 25 working days. Serving customers since 2006. Thousand of satisfied customers!. Codice libro della libreria REG_9783527318223_Wiley1012_86
Descrizione libro Condizione libro: New. New. US edition. Perfect condition. Customer satisfaction our priority. Codice libro della libreria ABE-FEB-117221
Descrizione libro Condizione libro: Brand New. New. US edition. Customer Satisfaction guaranteed!!. Codice libro della libreria SHUB117221