Microarray Data Analysis : Methods and Applications /
| Autor Corporativo: | |
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| Otros Autores: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2016.
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| Edición: | 2nd ed. 2016. |
| Colección: | Methods in Molecular Biology,
1375 |
| Materias: |
Tabla de Contenidos:
- Normalization of Affymetrix miRNA Microarrays for the Analysis of Cancer Samples
- Methods and Techniques for miRNA Data Analysis
- Bioinformatics And Microarray Data Analysis On The Cloud
- Classification and Clustering on Microarray Data for Gene Functional Prediction using R
- Querying co-regulated genes on diverse gene expression datasets via biclustering
- MetaMirClust: Discovery and Exploration Of Evolutionarily Conserved miRNA Clusters
- Analysis of Gene Expression Patterns using Biclustering
- Using semantic Similarities and csbl.go for Analyzing Microarray Data
- Ontology Based Analysis of Microarray Data
- Integrated Analysis of Transcriptomic and Proteomic Datasets Reveals Information on Protein Expressivity and Factors Affecting Translational Efficiency
- Integrating Microarray Data and GRNs
- Biological Network Inference from Microarray Data, Current Solutions and Assessments
- A Protocol to Collect Specific Mouse Skeletal Muscles for Metabolomics Studies
- Functional Analysis of microRNA in Multiple Myeloma
- Microarray Analysis in Glioblastomas
- Analysis of microRNA Microarrays in Cardiogenesis.