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|Additional Physical Format:||Also issued in print:
Workshop for Dialogue on Reverse Engineering Assessment and Methods (2006 : New York, N.Y.).
Reverse engineering biological networks.
Boston, Mass. : Published by Blackwell Pub. on behalf of the New York Academy of Sciences, c2007
|Material Type:||Conference publication, Document, Internet resource|
|Document Type:||Internet Resource, Computer File|
|All Authors / Contributors:||
Gustavo Stolovitzky; Andrea Califano
|Notes:||This volume is the result of a conference entitled Workshop for Dialogue on Reverse Engineering Assessment and Methods (DREAM) held September 7-8, 2006 at Wave Hill, New York.|
|Description:||1 online resource (xiv, 287 p.) : ill. (some col.)|
|Contents:||Dialogue on reverse-engineering assessment and methods : the DREAM of high-throughput pathway inference / Gustavo Stolovitzky, Don Monroe, and Andrea Califano --
ENFIN, a network to enhance integrative systems biology / Pascal Kahlem and Ewan Birney --
Reconstructing signal transduction pathways : challenges and opportunities / Arnold J. Levine ... [et al.] --
Theory and limitations of genetic network inference from microarray data / Adam A. Margolin and Andrea Califano --
Comparison of reverse-engineering methods using an in silico network / Diogo Camacho ... [et al.] --
Benchmarking of dynamic Bayesian networks inferred from stochastic time-series data / Lawrence A. David and Chris H. Wiggins --
Reconstruction of metabolic networks from high-throughput metabolite profiling data : in silico analysis of red blood cell metabolism / Ilya Nemenman ... [et al.] --
The gap gene system of Drosophila melanogaster : model-fitting and validation / Theodore J. Perkins --
Algorithmic issues in reverse engineering of protein and gene networks via the modular response analysis method / Piotr Berman, Bhaskar Dasgupta, and Eduardo Sontag --
Data requirements of reverse-engineering algorithms / Winfried Just --
Improving protein-protein interaction prediction based on phylogenetic information using a least-squares support vector machine / Roger A. Craig and Li Liao --
Reverse engineering of dynamic networks / B. Stigler ... [et al.] --
Learning regulatory programs that accurately predict differential expression with MEDUSA / Anshul Kundaje ... [et al.] --
Extracting falsifiable predictions from sloppy models / Ryan N. Gutenkunst ... [et al.] --
Dynamic pathway modeling : feasibility analysis and optimal experimental design / Thomas Maiwald ... [et al.] --
Sensitivity analysis of a computational model of the IKK-NF-[kappa]B-I[kappa]B[alpha]-A20 signal transduction network / Jaewook Joo ... [et al.] --
A framework for elucidating regulatory networks based on prior information and expression data / Olivier Gevaert, Steven Van Vooren, and Bart De Moore --
CellFrame : a data structure for abstraction of cell biology experiments and construction of perturbation networks / Yunchen Gong and Zhaolei Zhang --
Alternative pathway approach for automating analysis and validation of cell perturbation networks and design of perturbation experiments / Yunchen Gong and Zhaolei Zhang.
|Series Title:||Annals of the New York Academy of Sciences, v. 1115.|
|Responsibility:||edited by Gustavo Stolovitzky and Andrea Califano.|
“The volume particularly excels at its primary goal, which is to honestly describe the progress made in network construction and the challenges still facing researchers." (The Quarterly Review of
- Biology -- Mathematical models -- Congresses.
- Computational biology -- Congresses.
- Reverse engineering -- Congresses.
- Computational Biology -- Congresses.
- Genetic Engineering -- Congresses.
- Models, Biological -- Congresses.
- Molecular Biology -- Congresses.
- Biology -- Mathematical models.
- Computational biology.
- Reverse engineering.