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03315nam a22003975i 4500 |
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000283004 |
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20211029153655.0 |
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cr nn 008mamaa |
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110414s2009 xxu| s |||| 0|eng d |
| 020 |
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|a 9781597452434
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| 024 |
7 |
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|a 10.1007/978-1-59745-243-4
|2 doi
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| 040 |
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|a Sistema de Bibliotecas del Tecnológico de Costa Rica
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| 245 |
1 |
0 |
|a Computational Systems Biology /
|c edited by Jason McDermott, Ram Samudrala, Roger Bumgarner, Kristina Montgomery, Reneé Ireton.
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| 250 |
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|a 1st ed. 2009.
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| 260 |
# |
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|a Totowa, NJ :
|b Humana Press :
|b Imprint: Humana,
|c 2009.
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| 300 |
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|a XVIII, 587 p. 130 illus., 3 illus. in color. :
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 490 |
1 |
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|a Methods in Molecular Biology,
|v 541
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| 505 |
0 |
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|a Network Components -- Identification of cis-Regulatory Elements in Gene Co-expression Networks Using A-GLAM -- Structure-Based Ab Initio Prediction of Transcription Factor–Binding Sites -- Inferring Protein–Protein Interactions from Multiple Protein Domain Combinations -- Prediction of Protein–Protein Interactions: A Study of the Co-evolution Model -- Computational Reconstruction of Protein–Protein Interaction Networks: Algorithms and Issues -- Prediction and Integration of Regulatory and Protein–Protein Interactions -- Detecting Hierarchical Modularity in Biological Networks -- Network Inference -- Methods to Reconstruct and Compare Transcriptional Regulatory Networks -- Learning Global Models of Transcriptional Regulatory Networks from Data -- Inferring Molecular Interactions Pathways from eQTL Data -- Methods for the Inference of Biological Pathways and Networks -- Network Dynamics -- Exploring Pathways from Gene Co-expression to Network Dynamics -- Network Dynamics -- Kinetic Modeling of Biological Systems -- Guidance for Data Collection and Computational Modelling of Regulatory Networks -- Function and Evolutionary Systems Biology -- A Maximum Likelihood Method for Reconstruction of the Evolution of Eukaryotic Gene Structure -- Enzyme Function Prediction with Interpretable Models -- Using Evolutionary Information to Find Specificity-Determining and Co-evolving Residues -- Connecting Protein Interaction Data, Mutations, and Disease Using Bioinformatics -- Effects of Functional Bias on Supervised Learning of a Gene Network Model -- Computational Infrastructure for Systems Biology -- Comparing Algorithms for Clustering of Expression Data: How to Assess Gene Clusters -- The Bioverse API and Web Application -- Computational Representation of Biological Systems -- Biological Network Inference and Analysis Using SEBINI and CABIN.
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| 650 |
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0 |
|a Bioinformatics.
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| 650 |
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0 |
|a Systems biology.
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| 650 |
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0 |
|a Bioinformatics .
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| 650 |
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0 |
|a Computational biology .
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| 650 |
1 |
4 |
|a Bioinformatics.
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| 650 |
2 |
4 |
|a Systems Biology.
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| 650 |
2 |
4 |
|a Computer Appl. in Life Sciences.
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| 700 |
1 |
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|a McDermott, Jason.
|e editor.
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| 700 |
1 |
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|a Samudrala, Ram.
|e editor.
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| 700 |
1 |
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|a Bumgarner, Roger.
|e editor.
|
| 700 |
1 |
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|a Montgomery, Kristina.
|e editor.
|
| 700 |
1 |
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|a Ireton, Reneé.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 900 |
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|a Libro descargado a ALEPH en bloque (proveniente de proveedor)
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