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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
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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System Biology Methods and Tools for Integrating Omics Data
| System Biology Methods and Tools for Integrating Omics Data |
| Autore | Cheng Liang |
| Pubbl/distr/stampa | Frontiers Media SA, 2020 |
| Descrizione fisica | 1 online resource (233 p.) |
| Soggetto topico |
Medical genetics
Science: general issues |
| Soggetto non controllato |
complex diseases
data mining machine learing omics data system biology |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557208503321 |
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Cheng Liang
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| Frontiers Media SA, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Systems Analytics and Integration of Big Omics Data
| Systems Analytics and Integration of Big Omics Data |
| Autore | Hardiman Gary |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (202 p.) |
| Soggetto topico | Medicine |
| Soggetto non controllato |
algorithm development for network integration
Alzheimer's disease amyloid-beta annotation artificial intelligence biocuration bioinformatics pipelines candidate genes causal inference cell lines challenges chromatin modification class imbalance clinical data cognitive impairment curse of dimensionality data integration database deep phenotype dementia direct effect disease variants distance correlation drug sensitivity enrichment analysis epidemiological data epigenetics feature selection Gene Ontology gene-environment interactions genomics genotype heterogeneous data indirect effect integrative analytics joint modeling KEGG pathways logic forest machine learning microtubule-associated protein tau miRNA-gene expression networks missing data multi-omics multiomics integration multivariate analysis multivariate causal mediation n/a network topology analysis neurodegeneration non-omics data omics data pharmacogenomics phenomics phenotype plot visualization precision medicine informatics proteomic analysis regulatory genomics RNA expression scalability sequencing support vector machine systemic lupus erythematosus tissue classification tissue-specific expressed genes transcriptome |
| ISBN | 3-03928-745-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910404089603321 |
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Hardiman Gary
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| MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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