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Record Nr. |
UNINA9910143415403321 |
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Titolo |
Knowledge discovery in bioinformatics [[electronic resource] ] : techniques, methods, and applications / / edited by Xiaohua Hu, Yi Pan |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley-Interscience, c2007 |
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ISBN |
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1-280-90018-0 |
9786610900183 |
0-470-12464-4 |
0-470-12463-6 |
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Descrizione fisica |
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1 online resource (405 p.) |
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Collana |
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Wiley Series in Bioinformatics |
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Altri autori (Persone) |
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HuXiaohua <1960-> |
PanYi <1960-> |
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Disciplina |
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570.285 |
570/.285 |
572.80285 |
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Soggetti |
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Bioinformatics |
Computational biology |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di contenuto |
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KNOWLEDGE DISCOVERY IN BIOINFORMATICS; CONTENTS; Contributors; Preface; 1 Current Methods for Protein Secondary-Structure Prediction Based on Support Vector Machines; 1.1 Traditional Methods; 1.1.1 Statistical Approaches; 1.1.2 Machine Learning Approaches; 1.2 Support Vector Machine Method; 1.2.1 Introduction to SVM; 1.2.2 Encoding Profile; 1.2.3 Kernel Functions; 1.2.4 Tertiary Classifier Design; 1.2.5 Accuracy Measure of SVM; 1.3 Performance Comparison of SVM Methods; 1.4 Discussion and Conclusions; References; 2 Comparison of Seven Methods for Mining Hidden Links |
2.1 Analysis of the Literature on Raynaud's Disease2.2 Related Work; 2.3 Methods; 2.3.1 Information Measures; 2.3.2 Ranking Methods; 2.3.3 Seven Methods; 2.4 Experiment Results and Analysis; 2.4.1 Data Set; 2.4.2 Chi-Square, Chi-Square Association Rule, and Mutual Information Link ABC Methods Compared; 2.4.3 Chi-Square ABC Method: Semantic Check for Mining Implicit Connections; 2.4.4 Chi- |
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Square and Mutual Information Link ABC Methods; 2.5 Discussion and Conclusions; Acknowledgments; References; 3 Voting Scheme-Based Evolutionary Kernel Machines for Drug Activity Comparisons |
3.1 Granular Kernel and Kernel Tree Design3.1.1 Definitions; 3.1.2 Granular Kernel Properties; 3.2 GKTSESs; 3.3 Evolutionary Voting Kernel Machines; 3.4 Simulations; 3.4.1 Data Set and Experimental Setup; 3.4.2 Experimental Results and Comparisons; 3.5 Conclusions and Future Work; Acknowledgments; References; 4 Bioinformatics Analyses of Arabidopsis thaliana Tiling Array Expression Data; 4.1 Tiling Array Design and Data Description; 4.1.1 Data; 4.1.2 Tiling Array Expression Patterns; 4.1.3 Tiling Array Data Analysis; 4.2 Ontology Analyses; 4.3 Antisense Regulation Identification |
4.3.1 Antisense Silencing4.3.2 Antisense Regulation Identification; 4.4 Correlated Expression Between Two DNA Strands; 4.5 Identification of Nonprotein Coding mRNA; 4.6 Summary; Acknowledgments; References; 5 Identification of Marker Genes from High-Dimensional Microarray Data for Cancer Classification; 5.1 Feature Selection; 5.1.1 Taxonomy of Feature Selection; 5.1.2 Evaluation Criterion; 5.1.3 Generation Procedure; 5.2 Gene Selection; 5.2.1 Individual Gene Ranking; 5.2.2 Gene Subset Selection; 5.2.3 Summary of Gene Selection; 5.3 Comparative Study of Gene Selection Methods |
5.3.1 Microarray Data Descriptions5.3.2 Gene Selection Approaches; 5.3.3 Experimental Results; 5.4 Conclusions and Discussion; Acknowledgments; References; 6 Patient Survival Prediction from Gene Expression Data; 6.1 General Methods; 6.1.1 Kaplan-Meier Survival Analysis; 6.1.2 Cox Proportional-Hazards Regression; 6.2 Applications; 6.2.1 Diffuse Large-B-Cell Lymphoma; 6.2.2 Lung Adenocarcinoma; 6.2.3 Remarks; 6.3 Incorporating Data Mining Techniques to Survival Prediction; 6.3.1 Gene Selection by Statistical Properties; 6.3.2 Cancer Subtype Identification via Survival Information |
6.4 Selection of Extreme Patient Samples |
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Sommario/riassunto |
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The purpose of this edited book is to bring together the ideas and findings of data mining researchers and bioinformaticians by discussing cutting-edge research topics such as, gene expressions, protein/RNA structure prediction, phylogenetics, sequence and structural motifs, genomics and proteomics, gene findings, drug design, RNAi and microRNA analysis, text mining in bioinformatics, modelling of biochemical pathways, biomedical ontologies, system biology and pathways, and biological database management. |
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2. |
Record Nr. |
UNINA9910789353203321 |
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Autore |
Kelly Dorothy |
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Titolo |
A handbook for translator trainers : a guide to reflective practice / / Dorothy Kelly |
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Pubbl/distr/stampa |
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London, : Routledge, 2014 |
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ISBN |
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9781315760292 (e-book) |
9781138134829 (hbk.) |
9781900650816 (pbk.) |
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Descrizione fisica |
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1 online resource (173 p.) |
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Collana |
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Translation practices explained |
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Disciplina |
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Soggetti |
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Translating and interpreting - Study and teaching (Higher) |
Translators - Training of |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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First published 2000 by St. Jerome Publishing. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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1. Setting the Scene -- 2. Planning and Writing Objectives/outcomes -- 3. Participants in the Training Process: Trainees and Trainers -- 4. Curricular Content -- 5. Resources, Old and New -- 6. Method: Teaching and Learning Activities -- 7. Sequencing -- 8. Assessment -- 9. Training the Trainers -- Glossary -- References -- Index. |
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Sommario/riassunto |
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The community of translator trainers is growing constantly, as new courses are set up in diverse contexts throughout the world. After a brief overview of current approaches to translator training, this book offers practical guidance to sound training practices in different contexts. Given the very wide variety of backgrounds translator trainers come from, the text aims to be equally of use to language teachers new to translation, to professional translators new to teaching or training, to recent graduates in translation intending to embark on academic careers in translation studies, and to more experienced trainers wishing to reflect on their activity or to train new trainers. For that reason, no specific prior knowledge or experience of training is taken for granted. A systematic approach to curriculum and syllabus design is adopted, guiding readers from the writing of learning outcomes or objectives through to the design of teaching and learning activities, to the assessment of learning and course evaluation, all this applied |
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throughout in detail to the field of translation. Chapters contain exercises and activities designed to promote reflection on practice and to help trainers to develop their teaching skills, as well as their own course material. These activities are suitable both for self-learners and for groups on trainer training and staff development courses. |
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