Gene expression data analysis : a statistical and machine learning perspective

著者

• Barah, Pankaj
• Bhattacharyya, Dhruba K.
• Kalita, Jugal Kumar

書誌事項

Gene expression data analysis : a statistical and machine learning perspective

Pankaj Barah, Dhruba Kumar Bhattacharyya, Jugal Kumar Kalita

（A Chapman & Hall book）

Chapman & Hall/CRC, [2021]

• : hbk

注記

Includes bibliographical references and index

内容説明・目次

内容説明

An introduction to the Central Dogma of molecular biology and information flow in biological systems. A systematic overview of the methods for generating gene expression data. Background knowledge on statistical modeling and machine learning techniques. Detailed methodology of analyzing gene expression data with an example case study. Clustering methods for finding co-expression patterns from microarray, bulkRNA and scRNA data. A large number of practical tools, systems and repositories that are useful for computational biologists to create, analyze and validate biologically relevant gene expression patterns. Suitable for multi-disciplinary researchers and practitioners in computer science and biological sciences.

目次

Preface. Acknowledgements. Abstract. Authors. Introduction. Information Flow in Biological Systems. Gene Expression Data Generation. Statistical Foundations and Machine Learning. Co-expression Analysis. Differential Expression Analysis. Tools and Systems. Concluding Remarks and Research Challenges. Index. Glossary.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BC11847452
• ISBN:
  • 9780367338893
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boca Raton, FL
• ページ数/冊数: xviii, 360 p.
• 大きさ: 25 cm
• 分類:
  • DC23 : 572.865
• 件名:
  • LCSH : Gene expression -- Statistical methods
  • LCSH : Gene expression -- Data processing
  • LCSH : Machine learning
• 親書誌ID:
  • BB04603869