Regulatory Genomics [electronic resource] : RECOMB 2004 International Workshop, RRG 2004, San Diego, Ca, USA, March 26-27, 2004, Revised Selected Papers / edited by Eleazar Eskin, Christopher Workman.

Contributor(s): Eskin, Eleazar [editor.] | Workman, Christopher [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 3318Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Description: VIII, 116 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540322801Subject(s): Computer science | Data structures (Computer science) | Computer software | Computational complexity | Database management | Bioinformatics | Biology -- Data processing | Computer Science | Algorithm Analysis and Problem Complexity | Discrete Mathematics in Computer Science | Data Structures | Database Management | Bioinformatics | Computer Appl. in Life SciencesAdditional physical formats: Printed edition:: No titleDDC classification: 005.1 LOC classification: QA76.9.A43Online resources: Click here to access online
Contents:
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response -- Detecting Functional Modules of Transcription Factor Binding Sites in the Human Genome -- Fishing for Proteins in the Pacific Northwest -- PhyloGibbs: A Gibbs Sampler Incorporating Phylogenetic Information -- Application of Kernel Method to Reveal Subtypes of TF Binding Motifs -- Learning Regulatory Network Models that Represent Regulator States and Roles -- Using Expression Data to Discover RNA and DNA Regulatory Sequence Motifs -- Parameter Landscape Analysis for Common Motif Discovery Programs -- Inferring Cis-region Hierarchies from Patterns in Time-Course Gene Expression Data -- Modeling and Analysis of Heterogeneous Regulation in Biological Networks.
In: Springer eBooks
Item type: E-BOOKS
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Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response -- Detecting Functional Modules of Transcription Factor Binding Sites in the Human Genome -- Fishing for Proteins in the Pacific Northwest -- PhyloGibbs: A Gibbs Sampler Incorporating Phylogenetic Information -- Application of Kernel Method to Reveal Subtypes of TF Binding Motifs -- Learning Regulatory Network Models that Represent Regulator States and Roles -- Using Expression Data to Discover RNA and DNA Regulatory Sequence Motifs -- Parameter Landscape Analysis for Common Motif Discovery Programs -- Inferring Cis-region Hierarchies from Patterns in Time-Course Gene Expression Data -- Modeling and Analysis of Heterogeneous Regulation in Biological Networks.

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