Statistical modeling and machine learning for molecular biology / / Alan Moses, University of Toronto, Canada
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| Autore: |
Moses Alan
|
| Titolo: |
Statistical modeling and machine learning for molecular biology / / Alan Moses, University of Toronto, Canada
|
| Pubblicazione: | Boca Raton : , : CRC Press, , [2017] |
| ©2017 | |
| Descrizione fisica: | 1 online resource |
| Disciplina: | 572.8 |
| Soggetto topico: | Molecular biology - Statistical methods |
| Molecular biology - Data processing | |
| Nota di contenuto: | section 1. Overview -- section 2. Clustering -- section 3. Regression -- section 4. Classification. |
| Sommario/riassunto: | Molecular biologists are performing increasingly large and complicated experiments, but often have little background in data analysis. The book is devoted to teaching the statistical and computational techniques molecular biologists need to analyze their data. It explains the big-picture concepts in data analysis using a wide variety of real-world molecular biological examples such as eQTLs, ortholog identification, motif finding, inference of population structure, protein fold prediction and many more. The book takes a pragmatic approach, focusing on techniques that are based on elegant mathematics yet are the simplest to explain to scientists with little background in computers and statistics. |
| Titolo autorizzato: | Statistical modeling and machine learning for molecular biology |
| ISBN: | 1-4822-5862-5 |
| 1-315-37226-6 | |
| 1-4822-5860-9 | |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910162857403321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Chapman and Hall/CRC mathematical & computational biology series.