Genome Data Analysis: (Learning Materials in Biosciences 1st ed. 2019)
Ju Han Kim (Author)
This textbook 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 textbook 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. 100 Tables, color; 236 Illustrations, color; 409 Illustrations, black and white; XVI, 367 p. 645 illus., 236 illus. in color.
About the Author
Professor. Ju Han Kim, Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul , South Korea.
- Contributor: Ju Han Kim
- Imprint: Springer Verlag, Singapore
- ISBN13: 9789811319419
- Number of Pages: 367
- Packaged Dimensions: 168x240mm
- Packaged Weight: 796
- Format: Paperback
- Publisher: Springer Verlag, Singapore
- Release Date: 2019-05-10
- Series: Learning Materials in Biosciences
- Binding: Paperback / softback
- Biography: Professor. Ju Han Kim, Division of Biomedical Informatics, Seoul National University College of Medicine, Seoul , South Korea.
We hope you are delighted with everything you buy from us. However, if you are not, we will refund or replace your order up to 30 days after purchase. Terms and exclusions apply; find out more from our Returns and Refunds Policy.