Pattern Recognition in Bioinformatics (Record no. 95710)
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| 000 -LEADER | |
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| fixed length control field | 05844nam a22006375i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-540-37447-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240730195620.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 100301s2006 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783540374473 |
| -- | 978-3-540-37447-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/11818564 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QH324.2-324.25 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UY |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | PS |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM082000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | PSAX |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 570.285 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Pattern Recognition in Bioinformatics |
| Medium | [electronic resource] : |
| Remainder of title | International Workshop, PRIB 2006, Hong Kong, China, August 20, 2006, Proceedings / |
| Statement of responsibility, etc. | edited by Jagath C. Rajapakse, Limsoon Wong, Raj Acharya. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2006. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Berlin, Heidelberg : |
| Name of producer, publisher, distributor, manufacturer | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2006. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XII, 186 p. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Bioinformatics, |
| International Standard Serial Number | 2366-6331 ; |
| Volume/sequential designation | 4146 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Pattern Recognition in Bioinformatics: An Introduction -- Pattern Recognition in Bioinformatics: An Introduction -- 1: Signal and Motif Detection; Gene Selection -- Machine Learning Prediction of Amino Acid Patterns in Protein N-myristoylation -- A Profile HMM for Recognition of Hormone Response Elements -- Graphical Approach to Weak Motif Recognition in Noisy Data Sets -- Comparative Gene Prediction Based on Gene Structure Conservation -- Computational Identification of Short Initial Exons -- Pareto-Gamma Statistic Reveals Global Rescaling in Transcriptomes of Low and High Aggressive Breast Cancer Phenotypes -- Investigating the Class-Specific Relevance of Predictor Sets Obtained from DDP-Based Feature Selection Technique -- A New Maximum-Relevance Criterion for Significant Gene Selection -- 2: Models of DNA, RNA, and Protein Structures -- Spectral Graph Partitioning Analysis of In Vitro Synthesized RNA Structural Folding -- Predicting Secondary Structure of All-Helical Proteins Using Hidden Markov Support Vector Machines -- Prediction of Protein Subcellular Localizations Using Moment Descriptors and Support Vector Machine -- Using Permutation Patterns for Content-Based Phylogeny -- 3: Biological Databases and Imaging -- The Immune Epitope Database and Analysis Resource -- Intelligent Extraction Versus Advanced Query: Recognize Transcription Factors from Databases -- Incremental Maintenance of Biological Databases Using Association Rule Mining -- Blind Separation of Multichannel Biomedical Image Patterns by Non-negative Least-Correlated Component Analysis -- Image and Fractal Information Processing for Large-Scale Chemoinformatics, Genomics Analyses and Pattern Discovery -- Hybridization of Independent Component Analysis, Rough Sets, and Multi-Objective Evolutionary Algorithms for Classificatory Decomposition of Cortical Evoked Potentials. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | The field of bioinformatics has two main objectives: the creation and maintenance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model specific patterns of a given dataset, which have some relevance to an important biological phenomenon or another dataset. To date, many pattern recognition algorithms have been applied or catered to address a wide range of bioinformatics problems. The 2006 Workshop of Bioinformatics in Pattern Recognition (PRIB 2006) marks the beginning of a series of workshops that is aimed at gathering researchers applying pattern recognition algorithms in an attempt to resolve problems in computational biology and bioinformatics. This volume presentsthe proceedings of Workshop PRIB 2006 held in Hong Kong, China, on August 20, 2006. It includes 19 technical contributions that were selected by the Program Committee from 43 submissions. We give a brief introduction to pattern recognition in bioinformatics in the first paper. The rest of the volume consists of three parts. Part 1: signal and motif detection, and gene selection. Part 2: models of DNA, RNA, and protein structures. Part 3: biological databases and imaging. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Bioinformatics. |
| 9 (RLIN) | 9561 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Pattern recognition systems. |
| 9 (RLIN) | 3953 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Database management. |
| 9 (RLIN) | 3157 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial intelligence. |
| 9 (RLIN) | 3407 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information storage and retrieval systems. |
| 9 (RLIN) | 22213 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Bioinformatics. |
| 9 (RLIN) | 9561 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computational and Systems Biology. |
| 9 (RLIN) | 31619 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Automated Pattern Recognition. |
| 9 (RLIN) | 31568 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Database Management. |
| 9 (RLIN) | 3157 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial Intelligence. |
| 9 (RLIN) | 3407 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Information Storage and Retrieval. |
| 9 (RLIN) | 23927 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Rajapakse, Jagath C. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 160857 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Wong, Limsoon. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 160858 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Acharya, Raj. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 160859 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 160860 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783540374466 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783540827887 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Bioinformatics, |
| International Standard Serial Number | 2366-6331 ; |
| Volume/sequential designation | 4146 |
| 9 (RLIN) | 160861 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/11818564">https://doi.org/10.1007/11818564</a> |
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| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
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