Computational Reconstruction of Missing Data in Biological Research / Feng Bao
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| Autore: |
Bao, Feng
|
| Titolo: |
Computational Reconstruction of Missing Data in Biological Research / Feng Bao
|
| Pubblicazione: | Singapore, : Springer, 2021 |
| Descrizione fisica: | xvii, 105 p. : ill. ; 24 cm |
| Soggetto topico: | 92C37 - Cell biology [MSC 2020] |
| 92C55 - Biomedical imaging and signal processing [MSC 2020] | |
| 62-XX - Statistics [MSC 2020] | |
| 92D10 - Genetics and epigenetics [MSC 2020] | |
| 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] | |
| 68T07 - Artificial neural networks and deep learning [MSC 2020] | |
| 62D10 - Missing data [MSC 2020] | |
| Soggetto non controllato: | Biological data analysis |
| Data imputation | |
| Imbalance learning | |
| Machine learning | |
| Single Cell Analysis | |
| Note generali: | Doctoral Thesis accepted by Tsinghua University, Beijing, China |
| Titolo autorizzato: | Computational Reconstruction of Missing Data in Biological Research |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | VAN0275440 |
| Lo trovi qui: | Univ. Vanvitelli |
| Localizzazioni e accesso elettronico | https://doi.org/10.1007/978-981-16-3064-4 |
| Opac: | Controlla la disponibilità qui |
Serie:
Springer theses : recognizing outstanding Ph.D. research Berlin . -Springer , 2010-