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The Resource Computational intelligence methods for bioinformatics and biostatistics : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised selected papers, Enrico Formenti, Roberto Tagliaferri, Ernst Wit (eds.)

Computational intelligence methods for bioinformatics and biostatistics : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised selected papers, Enrico Formenti, Roberto Tagliaferri, Ernst Wit (eds.)

Creator
Editor
Contributor
Summary
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science
Language
eng
Work
Publication
Extent
1 online resource (xiii, 275 pages)
Note
Includes author index
Contents
  • Intro -- Preface -- Organization -- Contents -- Keynote Speaker -- Dynamic Gaussian Graphical Models for Modelling Genomic Networks -- 1 Introduction -- 2 Graphical Models -- 3 Dynamic Gaussian Graphical Model for Networks -- 3.1 Sparsity Restrictions of the Precision Matrix -- 3.2 Model Restrictions of the Precision Matrix -- 3.3 Maximum Likelihood -- 4 Max Determinant Optimization Problem -- 5 Application to T-Cell Data -- 6 Conclusions -- References -- Bioinformatics Regular Session
  • Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes -- 1 Introduction -- 1.1 Background -- 1.2 Related Work -- 1.3 Key Contributions -- 2 Materials and Methods -- 2.1 Compound Database -- 2.2 Compound Characterization -- 2.3 Decoy Generation and Formation of Training and Test Sets -- 2.4 Conventional Scoring Functions -- 2.5 Machine Learning Methods -- 3 Results and Discussion -- 3.1 Evaluation of Scoring Functions -- 3.2 ML vs. Conventional Approaches on a Diverse Test Set
  • 3.3 ML vs. Conventional Approaches on Homogeneous Test Sets -- 3.4 Impact of Training Set Size -- 4 Conclusion -- References -- BioCloud Search EnGene: Surfing Biological Data on the Cloud -- Abstract -- 1 Introduction -- 2 Background and Motivations -- 3 Architectural Aspects -- 3.1 Query Contextualization -- 3.2 Technical Details -- 4 BSE Functionalities -- 5 Conclusions -- Acknowledgments -- References -- Genomic Sequence Classification Using Probabilistic Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Probabilistic Topic Models -- 3.2 Document Model and DNA Sequences
  • 4 Experimental Tests -- 4.1 Bacteria Dataset -- 4.2 Training and Testing Pipelines -- 4.3 Classification Pipeline -- 4.4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches -- 1 Introduction -- 2 Communities Discovering in Networks Using Graph Analysis -- 3 Communities Discovering in Networks Using Clustering Approaches -- 4 The FSM Community Detection Method -- 5 Saccharomyces cerevisiae PPIs Discovery -- 5.1 Dataset -- 5.2 Experimental Results and Discussion -- 6 Conclusions
Isbn
9783319090429
Instance
Label
Computational intelligence methods for bioinformatics and biostatistics : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised selected papers
Title
Computational intelligence methods for bioinformatics and biostatistics
Title remainder
10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised selected papers
Statement of responsibility
Enrico Formenti, Roberto Tagliaferri, Ernst Wit (eds.)
Title variation
CIBB 2013
Creator
Contributor
Editor
Subject
Genre
Language
eng
Summary
This book constitutes the thoroughly refereed post-conference proceedings of the 10th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2013, held in Nice, France in June 2013. The 19 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers are organized in topical sections on bioinformatics, biostatistics, knowledge based medicine, and data integration and analysis in omic-science
Member of
Cataloging source
GW5XE
Dewey number
570.285
Illustrations
illustrations
Index
index present
LC call number
QH324.2
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2013
http://bibfra.me/vocab/lite/meetingName
CIBB (Meeting)
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorDate
1968-
http://library.link/vocab/relatedWorkOrContributorName
  • Formenti, Enrico
  • Tagliaferri, Roberto
  • Wit, Ernst
Series statement
  • Lecture notes in bioinformatics,
  • LNCS sublibrary. SL 8, Bioinformatics
Series volume
8452
http://library.link/vocab/subjectName
  • Computational intelligence
  • Bioinformatics
  • Biometry
  • Bioinformatics
  • Biometry
  • Computational intelligence
Label
Computational intelligence methods for bioinformatics and biostatistics : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised selected papers, Enrico Formenti, Roberto Tagliaferri, Ernst Wit (eds.)
Instantiates
Publication
Note
Includes author index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro -- Preface -- Organization -- Contents -- Keynote Speaker -- Dynamic Gaussian Graphical Models for Modelling Genomic Networks -- 1 Introduction -- 2 Graphical Models -- 3 Dynamic Gaussian Graphical Model for Networks -- 3.1 Sparsity Restrictions of the Precision Matrix -- 3.2 Model Restrictions of the Precision Matrix -- 3.3 Maximum Likelihood -- 4 Max Determinant Optimization Problem -- 5 Application to T-Cell Data -- 6 Conclusions -- References -- Bioinformatics Regular Session
  • Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes -- 1 Introduction -- 1.1 Background -- 1.2 Related Work -- 1.3 Key Contributions -- 2 Materials and Methods -- 2.1 Compound Database -- 2.2 Compound Characterization -- 2.3 Decoy Generation and Formation of Training and Test Sets -- 2.4 Conventional Scoring Functions -- 2.5 Machine Learning Methods -- 3 Results and Discussion -- 3.1 Evaluation of Scoring Functions -- 3.2 ML vs. Conventional Approaches on a Diverse Test Set
  • 3.3 ML vs. Conventional Approaches on Homogeneous Test Sets -- 3.4 Impact of Training Set Size -- 4 Conclusion -- References -- BioCloud Search EnGene: Surfing Biological Data on the Cloud -- Abstract -- 1 Introduction -- 2 Background and Motivations -- 3 Architectural Aspects -- 3.1 Query Contextualization -- 3.2 Technical Details -- 4 BSE Functionalities -- 5 Conclusions -- Acknowledgments -- References -- Genomic Sequence Classification Using Probabilistic Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Probabilistic Topic Models -- 3.2 Document Model and DNA Sequences
  • 4 Experimental Tests -- 4.1 Bacteria Dataset -- 4.2 Training and Testing Pipelines -- 4.3 Classification Pipeline -- 4.4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches -- 1 Introduction -- 2 Communities Discovering in Networks Using Graph Analysis -- 3 Communities Discovering in Networks Using Clustering Approaches -- 4 The FSM Community Detection Method -- 5 Saccharomyces cerevisiae PPIs Discovery -- 5.1 Dataset -- 5.2 Experimental Results and Discussion -- 6 Conclusions
Control code
884887724
Dimensions
unknown
Extent
1 online resource (xiii, 275 pages)
File format
unknown
Form of item
online
Isbn
9783319090429
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-09042-9
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)884887724
Label
Computational intelligence methods for bioinformatics and biostatistics : 10th International Meeting, CIBB 2013, Nice, France, June 20-22, 2013, Revised selected papers, Enrico Formenti, Roberto Tagliaferri, Ernst Wit (eds.)
Publication
Note
Includes author index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
  • Intro -- Preface -- Organization -- Contents -- Keynote Speaker -- Dynamic Gaussian Graphical Models for Modelling Genomic Networks -- 1 Introduction -- 2 Graphical Models -- 3 Dynamic Gaussian Graphical Model for Networks -- 3.1 Sparsity Restrictions of the Precision Matrix -- 3.2 Model Restrictions of the Precision Matrix -- 3.3 Maximum Likelihood -- 4 Max Determinant Optimization Problem -- 5 Application to T-Cell Data -- 6 Conclusions -- References -- Bioinformatics Regular Session
  • Molecular Docking for Drug Discovery: Machine-Learning Approaches for Native Pose Prediction of Protein-Ligand Complexes -- 1 Introduction -- 1.1 Background -- 1.2 Related Work -- 1.3 Key Contributions -- 2 Materials and Methods -- 2.1 Compound Database -- 2.2 Compound Characterization -- 2.3 Decoy Generation and Formation of Training and Test Sets -- 2.4 Conventional Scoring Functions -- 2.5 Machine Learning Methods -- 3 Results and Discussion -- 3.1 Evaluation of Scoring Functions -- 3.2 ML vs. Conventional Approaches on a Diverse Test Set
  • 3.3 ML vs. Conventional Approaches on Homogeneous Test Sets -- 3.4 Impact of Training Set Size -- 4 Conclusion -- References -- BioCloud Search EnGene: Surfing Biological Data on the Cloud -- Abstract -- 1 Introduction -- 2 Background and Motivations -- 3 Architectural Aspects -- 3.1 Query Contextualization -- 3.2 Technical Details -- 4 BSE Functionalities -- 5 Conclusions -- Acknowledgments -- References -- Genomic Sequence Classification Using Probabilistic Topic Modeling -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Probabilistic Topic Models -- 3.2 Document Model and DNA Sequences
  • 4 Experimental Tests -- 4.1 Bacteria Dataset -- 4.2 Training and Testing Pipelines -- 4.3 Classification Pipeline -- 4.4 Results and Discussion -- 5 Conclusion and Future Work -- References -- Community Detection in Protein-Protein Interaction Networks Using Spectral and Graph Approaches -- 1 Introduction -- 2 Communities Discovering in Networks Using Graph Analysis -- 3 Communities Discovering in Networks Using Clustering Approaches -- 4 The FSM Community Detection Method -- 5 Saccharomyces cerevisiae PPIs Discovery -- 5.1 Dataset -- 5.2 Experimental Results and Discussion -- 6 Conclusions
Control code
884887724
Dimensions
unknown
Extent
1 online resource (xiii, 275 pages)
File format
unknown
Form of item
online
Isbn
9783319090429
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other control number
10.1007/978-3-319-09042-9
Other physical details
illustrations.
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
(OCoLC)884887724

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