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Genome Data Analysis

Language EnglishEnglish
Book Paperback
Book Genome Data Analysis Ju Han Kim
Libristo code: 19763336
Publishers Springer Verlag, Singapore, May 2019
This book describes recent advances in genomics and bioinformatics and provides numerous examples of... Full description
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This book describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader's bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. The book is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics.

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About the book

Full name Genome Data Analysis
Author Ju Han Kim
Language English
Binding Book - Paperback
Date of issue 2019
Number of pages 367
EAN 9789811319419
ISBN 9811319413
Libristo code 19763336
Weight 806
Dimensions 240 x 169 x 17
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