Stratalycs provides Microarray data analysis from basic quality assessment, gene expression analysis, pathway analysis, clustering analysis and gene ontology enrichment analysis, using bioinformatics algorithms.
The analytical choices matter as much as the algorithms. We document normalisation and filtering decisions so the results can be reviewed rather than taken on trust.
What this includes
Quality assessment and normalisation
Array-level QC, background correction and normalisation with the method justified for the dataset.
Differential expression
Expression analysis with multiple-testing correction and effect sizes reported alongside p-values.
Clustering and classification
Unsupervised and supervised approaches to find structure across samples.
Pathway and GO enrichment
Functional interpretation placing the gene lists into biological context.
What you get
- Documented normalisation and filtering decisions
- Findings placed in biological context, not just ranked lists
- Reproducible analysis scripts you keep
- Figures ready for publication or internal review
Tools and platforms
R / BioconductorlimmaclusterProfilerPythonCytoscape