| 書目名稱 | Genome Data Analysis | | 編輯 | Ju Han Kim | | 視頻video | http://file.papertrans.cn/383/382829/382829.mp4 | | 概述 | Describes recent advances in genomics and bioinformatics.Provides numerous examples of genome data analysis.Meets the needs of life scientists, medical scientists, and others who are new to the field | | 叢書名稱 | Learning Materials in Biosciences | | 圖書封面 |  | | 描述 | .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 bioinform | | 出版日期 | Textbook 2019 | | 關(guān)鍵詞 | Genome data analysis; Bioinformatics; Practice in data science; Statistics using R; Clinical informatics | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-13-1942-6 | | isbn_softcover | 978-981-13-1941-9 | | isbn_ebook | 978-981-13-1942-6Series ISSN 2509-6125 Series E-ISSN 2509-6133 | | issn_series | 2509-6125 | | copyright | Springer Nature Singapore Pte Ltd. 2019 |
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