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Computational Reconstruction of Missing Data in Biological Research / Feng Bao
| Computational Reconstruction of Missing Data in Biological Research / Feng Bao |
| Autore | Bao, Feng |
| Pubbl/distr/stampa | 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 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0275440 |
Bao, Feng
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| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Computational Reconstruction of Missing Data in Biological Research / Feng Bao
| Computational Reconstruction of Missing Data in Biological Research / Feng Bao |
| Autore | Bao, Feng |
| Pubbl/distr/stampa | Singapore, : Springer, 2021 |
| Descrizione fisica | xvii, 105 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62D10 - Missing data [MSC 2020] 62P10 - Applications of statistics to biology and medical sciences; meta analysis [MSC 2020] 68T07 - Artificial neural networks and deep learning [MSC 2020] 92C37 - Cell biology [MSC 2020] 92C55 - Biomedical imaging and signal processing [MSC 2020] 92D10 - Genetics and epigenetics [MSC 2020] |
| Soggetto non controllato |
Biological data analysis
Data imputation Imbalance learning Machine learning Single Cell Analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00275440 |
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Bao, Feng
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||
| Singapore, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Machine Learning for Data Science Handbook : Data Mining and Knowledge Discovery Handbook / Lior Rokach, Oded Maimon, Erez Shmueli editors
| Machine Learning for Data Science Handbook : Data Mining and Knowledge Discovery Handbook / Lior Rokach, Oded Maimon, Erez Shmueli editors |
| Edizione | [3. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2023 |
| Descrizione fisica | vii, 985 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Analytics
Artificial Intelligence Autoencoder Clustering Data Mining Data imputation Data science Decision Trees Deep Learning Dimensionality reduction Ensemble Learning Generative Adversarial Networks Knowledge Discovery Machine learning Neural networks Privacy Preserving Recommender system Text Mining Web mining |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00278867 |
| Cham, : Springer, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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