Reverse engineering biological networks \ Opportunities and challenges in computational methods for pathway inference \ Gustavo Stolovitzky

By:

Stolovitzky, Gustavo

Material type: Text

TextPublisher: New York : The Annals of the New York Academy of Sciences Edition: 1Description: 287 pContent type:

texto

Media type:

no mediado

Carrier type:

volumen

ISBN:

9781573316897

Subject(s):

DDC classification:

571.6 S8758

Contents:

1. Part I. Community Efforts for Pathway Inference 2. Part II. Overview of Reverse Engineering Methods: Experiment and Theory 3. Part III. Establishing in Silico and Experimental Gold Standards anf Performance Metrics for Reverse Engineering 4. Part IV. Theoretical analyses of Reverse Engineering Algorithms 5. Part V. Some Reverse Engineering Algorithms 6. Part VI. Reverse Engineering of Paramenters un Quantitative Models 7. Part VII. Integration of Prior Information in Reverse Engineering Algorithims 8. Financial assistance was received from

Abstract: Computational biologists are striving to ´reverse engineer´ theunderlying networks of interactions between the molecules in thecell. This volume and the conference it reports on attempt asystematic evaluation of reverse engineering methods. The DREAMproject brings together a diverse group of researchers to clarifypotentials and limitations of the enterprise of reverse engineeringcellular networks. An important aspiration of the project is tocompare the effectiveness of different methods in reverseengineering biological networks. Evaluating this requires a ´goldstandard´ network for which at least the true topology ofconnections is known. Many participants, especially thecomputational biologists, believe that synthetic networks are goodcandidates for this purpose because, at least for now, only theycan be described with certainty. Experimental biologists, however,worry that unless the project addresses real biological networks,it could evolve into a mathematical exercise with little impact onbiology. These and other ideas are discussed.

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Holdings
Item type	Current library	Call number	Copy number	Status	Notes	Date due	Barcode
Libros	Biblioteca UHEMISFERIOS CIENCIA SOCIALES Y HUMANAS	571.6 S8758 (Browse shelf(Opens below))	Ej.1	Available	Acervo General de Libros		23420

P. 282

Computational biologists are striving to ´reverse engineer´ theunderlying networks of interactions between the molecules in thecell. This volume and the conference it reports on attempt asystematic evaluation of reverse engineering methods. The DREAMproject brings together a diverse group of researchers to clarifypotentials and limitations of the enterprise of reverse engineeringcellular networks. An important aspiration of the project is tocompare the effectiveness of different methods in reverseengineering biological networks. Evaluating this requires a ´goldstandard´ network for which at least the true topology ofconnections is known. Many participants, especially thecomputational biologists, believe that synthetic networks are goodcandidates for this purpose because, at least for now, only theycan be described with certainty. Experimental biologists, however,worry that unless the project addresses real biological networks,it could evolve into a mathematical exercise with little impact onbiology. These and other ideas are discussed.

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