Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Computational Systems Biology of Pathogen-Host Interactions
| Computational Systems Biology of Pathogen-Host Interactions |
| Autore | Reinhard Guthke |
| Pubbl/distr/stampa | Frontiers Media SA, 2016 |
| Descrizione fisica | 1 online resource (198 p.) |
| Collana | Frontiers Research Topics |
| Soggetto topico | Microbiology (non-medical) |
| Soggetto non controllato |
bioinformatics
Computational Biology Constraint-based modeling gene regulatory network Image-based Systems Biology Network Inference OMICS data pathogen-host interaction protein-protein interaction text mining |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910161648403321 |
Reinhard Guthke
|
||
| Frontiers Media SA, 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Integrative Toxicogenomics: Analytical Strategies to Amalgamate Exposure Effects With Genomic Sciences
| Integrative Toxicogenomics: Analytical Strategies to Amalgamate Exposure Effects With Genomic Sciences |
| Autore | Bushel Pierre R |
| Pubbl/distr/stampa | Frontiers Media SA, 2019 |
| Descrizione fisica | 1 online resource (112 p.) |
| Collana | Frontiers Research Topics |
| Soggetto topico |
Medical genetics
Science: general issues |
| Soggetto non controllato |
bioinformatics
chemicals exposures Gene Expression gene regulatory network integration mode of action Next-generation sequencing toxicogenomics Toxicology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Integrative Toxicogenomics |
| Record Nr. | UNINA-9910557594403321 |
|
Bushel Pierre R
|
||
| Frontiers Media SA, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical Methods for the Analysis of Genomic Data
| Statistical Methods for the Analysis of Genomic Data |
| Autore | Jiang Hui |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (136 p.) |
| Soggetto topico |
Mathematics and Science
Research and information: general |
| Soggetto non controllato |
Bayes factor
Bayesian mixed-effect model boosting classification classification boundary clustering analysis convolutional neural networks CpG sites deep learning DNA methylation expectation-maximization algorithm false discovery rate control feed-forward neural networks gaussian finite mixture model GEE gene expression gene regulatory network gene set enrichment analysis integrative analysis kernel method lipid-environment interaction longitudinal lipidomics study machine learning multiple cancer types n/a network substructure nonparanormal graphical model omics data Ordinal responses penalized variable selection prognosis modeling RNA-seq uncertainty |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557545803321 |
|
Jiang Hui
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||