Computational systems biology /

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Bibliographic Details
Imprint:Totowa, N.J. : Humana ; London : Springer [distributor], 2009.
Description:xviii, 587 p. : ill. (some col.) ; 27 cm.
Language:English
Series:Methods in molecular biology ; 541
Methods in molecular biology (Clifton, N.J.) ; v. 541.
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/7708293
Hidden Bibliographic Details
Other authors / contributors:McDermott, Jason.
ISBN:9781588299055 (hbk.)
1588299058 (hbk.)
Notes:"Springer protocols"--cover.
Includes bibliographical references and index.

MARC

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245 0 0 |a Computational systems biology /  |c edited by Jason McDermott ... [et al.]. 
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490 1 |a Methods in molecular biology ;  |v 541 
500 |a "Springer protocols"--cover. 
504 |a Includes bibliographical references and index. 
505 0 0 |g Part 1.  |t Network components --  |g 1.  |t Identification of cis-regulatory elements in gene co-expression networks using A-GLAM /  |r Leonardo Mariño-Ramírez ... [et al.] --  |g 2.  |t Structure-based Ab initio prediction of transcription factor-binding sites /  |r L. Angela Liu and Joel S. Bader --  |g 3.  |t Inferring protein-protein interactions from multiple protein domain combinations /  |r Simon P. Kanaan, ... [et al.] --  |g 4.  |t Prediction of protein-protein interactions: a study of the co-evolution model /  |r Itai Sharon, Jason V. Davis, and Golan Yona --  |g 5.  |t Computational reconstruction of protein-protein interaction networks : algorithms and issues /  |r Eric Franzosa, Bolan Linghu, and Yu Xia --  |g 6.  |t Prediction and integration of regulatory and protein-protein interactions /  |r Duangdao Wichadakul, Jason McDermott, and Ram Samudrala --  |g 7.  |t Detecting hierarchical modularity in biological networks /  |r Erzsebet Ravasz --  |g Part 2.  |t Network inference --  |g 8.  |t Methods to reconstruct and compare transcriptional regulatory networks /  |r M. Madan Babu, Benjamin Lang, and L. Aravind --  |g 9.  |t Learning global models of transcriptional regulatory networks from data /  |r Aviv Madar and Richard Bonneau --  |g 10.  |r Inferring molecular interactions pathways from eQTL data /  |r Imran Rashid, Jason McDermott, and Ram Samudrala --  |g 11.  |t Methods for the inference of biological pathways and networks /  |r Roger E. Bumgarner and Ka Yee Yeung -- 
505 8 0 |g Part 3.  |t Network dynamics --  |g 12.  |t Exploring pathways from gene co-expression to network dynamics /  |r Huai Li, Yu Sun, and Ming Zhan --  |g 13.  |t Network dynamics /  |r Herbert M. Sauro --  |g 14.  |t Kinetic modeling of biological systems /  |r Haluk Resat, Linda Petzold, and Michel F. Pettigrew --  |g 15.  |t Guidance for data collection and computational modelling of regulatory networks /  |r Adam Christopher Palmer, and Keith Edward Shearwin --  |g Part 4.  |t Function and evolutionary systems biology --  |g 16.  |t Maximum likelihood method for reconstruction of the evolution of eukaryotic gene structure /  |r Liran Carmel, ... [et al.] --  |g 17.  |t Enzyme function prediction with interpretable models /  |r Umar Syed and Golan Yona --  |g 18.  |t Using evolutionary information to find specificity-determining and co-evolving residues /  |r Grigory Kolesov and Leonid A. Mirny --  |g 19.  |t Connecting protein interaction data, mutations, and disease using bioinformatics /  |r Jake Y. Chen, Eunseog Youn, and Sean D. Mooney --  |g 20.  |t Effects of functional bias on supervised learning of a gene network model /  |r Insuk Lee and Edward M. Marcotte --  |g Part 5.  |t Computational infrastructure for systems biology --  |g 21.  |t Comparing algorithms for clustering of expression data : how to assess gene clusters /  |r Golan Yona, William Dirks, and Shafquat Rahman --  |g 22.  |t Bioverse API and web application /  |r Michal Guerquin ... [et al.] --  |g 23.  |t Computational representation of biological systems /  |r Zach Frazier ... [et al.] --  |g 24.  |t Biological network inference and analysis using SEBINI and CABIN /  |r Ronald Taylor and Mudita Singhal. 
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