| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNISA996465426403316 |
|
|
Titolo |
Neural Information Processing [[electronic resource] ] : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part II / / edited by Minho Lee, Akira Hirose, Zeng-Guang Hou, Rhee Man Kil |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
|
|
|
|
|
|
|
|
|
ISBN |
|
|
|
|
|
|
Edizione |
[1st ed. 2013.] |
|
|
|
|
|
Descrizione fisica |
|
1 online resource (XVIII, 776 p. 277 illus.) |
|
|
|
|
|
|
Collana |
|
Theoretical Computer Science and General Issues, , 2512-2029 ; ; 8227 |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Pattern recognition systems |
Computer vision |
Artificial intelligence |
Computer science |
Data mining |
Automated Pattern Recognition |
Computer Vision |
Artificial Intelligence |
Theory of Computation |
Data Mining and Knowledge Discovery |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Bibliographic Level Mode of Issuance: Monograph |
|
|
|
|
|
|
Nota di contenuto |
|
Cognitive science and artificial intelligence -- Learning theory, algorithms and architectures -- Computational neuroscience and brain imaging -- Vision, speech and signal processing -- Control, robotics and hardware technologies.- Novel approaches and applications. |
|
|
|
|
|
|
|
|
Sommario/riassunto |
|
The three volume set LNCS 8226, LNCS 8227, and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of |
|
|
|
|
|
|
|
|
|
|
|
|
|
theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms, and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies; and novel approaches and applications. |
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9911018939403321 |
|
|
Titolo |
Plant proteomics : technologies, strategies, and applications / / edited by Ganesh Kumar Agrawal, Randeep Rakwal |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
Hoboken, N.J., : J. Wiley, c2008 |
|
|
|
|
|
|
|
ISBN |
|
9786611831325 |
9781281831323 |
1281831328 |
9780470369630 |
0470369639 |
9780470369838 |
0470369833 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (818 p.) |
|
|
|
|
|
|
Collana |
|
Wiley-Interscience series in mass spectrometry |
|
|
|
|
|
|
Altri autori (Persone) |
|
AgrawalGanesh Kumar |
RakwalRandeep |
|
|
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
Soggetti |
|
Plant proteins |
Plant proteomics |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di bibliografia |
|
Includes bibliographical references and index. |
|
|
|
|
|
|
Nota di contenuto |
|
PLANT PROTEOMICS; CONTENTS; PREFACE; CONTRIBUTORS; ACRONYMS AND ABBREVIATIONS; 1 AN INTRODUCTION TO PROTEOMICS: APPLICATIONS TO PLANT BIOLOGY; 1.1 Proteomics Defined; 1.2 Proteomics Applied; References; PART I TECHNOLOGIES; 2 GEL-BASED PROTEOMICS; 2.1 Introduction and Brief Bibliographic Review; 2.2 SDS-PAGE; 2.3 IEF; 2.4 2D Maps; 2.5 Conclusions; 2.6 Five-Year Viewpoint; References; 3 MASS SPECTROMETRY-BASED PROTEOMICS: IDENTIFYING |
|
|
|
|
|
|
|
|
|
|
|
PLANT PROTEINS; 3.1 Introduction and Brief Bibliographic Review; 3.2 Instrumentation; 3.3 MALDI; 3.4 ESI; 3.5 Mass Analyzers; 3.6 Ion Detectors |
3.7 Sample Preparation3.8 Protein Identification; 3.9 Conclusions; 3.10 Five-Year Viewpoint; References; 4 CHEMICAL PROTEOMICS; 4.1 Introduction; 4.2 Strategies For Activity-Based Protein Profiling (ABPP); 4.3 Case Study: Development of Molecular Tools Targeting Plant Kinases; 4.4 Conclusions; 4.5 Five-Year Viewpoint; References; 5 THE ARABIDOPSIS LOCALIZOME: SUBCELLULAR PROTEIN LOCALIZATION AND INTERACTIONS IN ARABIDOPSIS; 5.1 Protein Compartmentalization in Plant Cells; 5.2 Experimental Determination of Protein Localization |
5.3 In Vivo Imaging Approaches to Protein Localization and Interaction5.4 Plant Cell Cultures for Studying Protein Localization; 5.5 Protein-Protein Interaction In Vivo: FRET; 5.6 Perspectives: Integrating Predictive and Experimental Protein Localization Data; References; 6 SECRETOME: TOWARD DECIPHERING THE SECRETORY PATHWAYS AND BEYOND; 6.1 Introduction and Brief Bibliographic Review; 6.2 Methodology and Strategy; 6.3 A Case Study: In Planta and In Vitro Protein Profiles of Soluble and Secreted Proteins in Rice; 6.4 Conclusions; 6.5 Five-Year Viewpoint; References; 7 PEPTIDOMICS |
7.1 Introduction and Brief Bibliographic Review7.2 Separation Technology; 7.3 MS Technology; 7.4 Bioinformatics and Data Mining; 7.5 Differential Peptide Display; 7.6 ID LC-MALDI; 7.7 2D CA-RP-LC-ESI-MS; 7.8 Applications; 7.9 Peptides and Proteases; 7.10 Conclusions; 7.11 Five-Year Viewpoint; References; PART II COMPUTATIONAL PROTEOMICS; 8 BIOINFORMATICS IN GEL-BASED PROTEOMICS; 8.1 Introduction and Brief Bibliographic Review; 8.2 Methodology and Strategy; 8.3 Experimental Results and Applications; 8.4 Conclusions; 8.5 Five-Year Viewpoint; References; 9 BIOINFORMATICS IN MS-BASED PROTEOMICS |
9.1 Introduction9.2 Database Searching; 9.3 Peptide De Novo Sequencing; 9.4 Conclusions and Five-Year Viewpoint; References; PART III EXPRESSION PROTEOMICS; 10 AN OVERVIEW OF THE ARABIDOPSIS PROTEOME; 10.1 Introduction and Brief Bibliographic Review; 10.2 Methodology and Strategy; 10.3 Experimental Results and Applications; 10.4 Conclusions; 10.5 Five-Year Viewpoint; References; 11 RICE PROTEOME AT A GLANCE; 11.1 Introduction and Brief Bibliographic Review; 11.2 Methodology and Strategy; 11.3 Experimental Results and Applications; 11.4 Conclusions; 11.5 Five-Year Viewpoint; References |
12 PROTEOMICS OF LEGUME PLANTS |
|
|
|
|
|
|
Sommario/riassunto |
|
Confidently face the challenges of proteomics research specific to plant science with the information in Plant Proteomics, which will introduce you to the techniques and methodologies required for the study of representative plant species. Read about proteomics studies in Arabidopsis, rice, and legumes and find information about common technologies like mass spectrometry and gel electrophoresis. Discover expression proteomics, functional proteomics, structural proteomics, bioinformatics, and systems biology, understand how to conduct proteomics studies in developing countries and underf |
|
|
|
|
|
|
|
| |