Data analytics in bioinformatics : a machine learning perspective

著者

• Satpathy, Rabinarayan
• Choudhury, Tanupriya
• Satpathy, Suneeta
• Mohanty, Sachi Nandan
• Zhang, Xiaobo

書誌事項

Data analytics in bioinformatics : a machine learning perspective

edited by Rabinarayan Satpathy ... [et al.]

Wiley-Scrivener, c2021

• : hbk

注記

Includes bibliographical references and index

内容説明・目次

内容説明

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BC06959151
• ISBN:
  • 9781119785538
• 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: Hoboken
• ページ数/冊数: xxi, 513 p.
• 大きさ: 24 cm
• 分類:
  • DC23 : 570.285
• 件名:
  • LCSH : Bioinformatics
  • LCSH : Artificial intelligence -- Biological applications