Computational Reconstruction of Missing Data in Biological Research

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The emerging biotechnologies have significantly advanced the study of biological mechanisms. However, biological data usually contain a great amount of missing information, e.g. missing features, missing labels or missing samples, which greatly limits the extensive usage of the data. In this book, we introduce different types of biological data missing scenarios and propose machine learning models...
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The emerging biotechnologies have significantly advanced the study of biological mechanisms. However, biological data usually contain a great amount of missing information, e.g. missing features, missing labels or missing samples, which greatly limits the extensive usage of the data. In this book, we introduce different types of biological data missing scenarios and propose machine learning models...
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  • Formats: pdf
  • ISBN: 9789811630644
  • Publication Date: 6 Aug 2021
  • Publisher: Springer Nature Singapore
  • Product language: English
  • Drm Setting: DRM