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SplineOmics
PublicTimeseries analysis of -omics data can be carried out by fitting spline curves to the data and using limma for hypothesis testing. The obtained hits can be clustered based on the spline shape and then used for an overrepresentation (ORA) analysis.The R package SplineOmics streamlines this whole process and generates reportsSplineOmics_html_reports
Publictfcf
Public- Epigenetic regulators of fibrotic transformation in cardiac fibroblasts
imputeeval
PublicHands-on-Biomedical-Data
Publicneuroblastoma
PublicSingle-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasispnet_robustness
PublicReliable interpretability of biology-inspired deep neural networksAllergy_clinical_trial
Public