Microarray data analysis solutions
We provide all stages of microarray data analysis, as well as interpretation of microarray data and document (manuscript, proposal or product description) preparation.
Examples of data analysis modules:
| QC | Six matrics reported by arrayQualityMetrics |
| Gene expression levels | RMA, gcRMA or MAS5 |
| Normalization and batch effects | Quantile normalization, PCA, Correct batch effects |
| Differential expression analysis | T-test, ANOVA, SAM, FDR, Outlier differential expression |
| Pathway and regulatory analysis | GO term enrichment, hierarchical/k-means clustering, DNA motif analysis, regulatory pattern analysis |
| Coexpression network analyses | Weighted gene coexpression network analysis, consensus network analysis, differential gene network analysis, association between variants and gene networks, functional module detection, disease module detection |
| Time-series analysis | Periodic (e.g. cell cycle) analysis, differential expression analysis, regulatory network construction |
| Related to phenotypes/clinical data | Classification of microarrays, biomarker discovery, disease prediction models |