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.)
Resource Information
The item 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.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item 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.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from 1 library branch.
- 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
- 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
- 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
- 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
- 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.)
- 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.)
- 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
Subject
- Bioinformatics
- Bioinformatics -- Congresses
- Biometry
- Biometry
- Biometry -- Congresses
- Computational intelligence
- Computational intelligence
- Conference papers and proceedings
- Conference papers and proceedings
- Electronic books
- Bioinformatics
- Computational intelligence -- Congresses
Genre
Member of
- Lecture notes in computer science, Lecture notes in bioinformatics, 8452
- LNCS sublibrary, SL 8, Bioinformatics
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Computational-intelligence-methods-for/Jddpc0NYRuY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Computational-intelligence-methods-for/Jddpc0NYRuY/">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.)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>