Computational Reconstruction of Missing Data in Biological Research
Feng Bao
Résumé
The outline of this book is as follows. In Chapter 2, we introduce the statistical recovery of missing data features; in Chapter 3, we introduce the statistical recovery of missing labels; in Chapter 4, we introduce the statistical recovery of missing data sample information; finally, in Chapter 5, we summarize the full text and outlook future directions. This book can be used as references for researchers in computational biology, bioinformatics and biostatistics. Readers are expected to have basic knowledge of statistics and machine learning.
Chapter 1 Introduction.- Chapter 2 Fast computational recovery of missing features for large-scale biological data.- Chapter 3 Computational recovery of information from low-quality and missing labels.- Chapter 4 Computational recovery of sample missings.- Chapter 5 Summary and outlook.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Apress |
Auteur(s) | Feng Bao |
Parution | 07/08/2021 |
Nb. de pages | 105 |
EAN13 | 9789811630637 |
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