Quantitative Biology and Statistics
| LEMUR | Cluster-free differential expression analysis of multi-condition single-cell data using Latent Embedding Multivariate Regression |
| MOFA | Multi-Omics Factor Analysis |
| DESeq2 | Differential gene expression analysis based on the negative binomial distribution |
| IHW | Multiple testing and false discovery rate (FDR) control by Independent Hypothesis Weighting |
| EBImage | Image processing and analysis toolbox for R |
| Rarr | Read Zarr Files in R |
| rdf5 | R Interface to HDF5 |
| vsn | Normalization and variance stabilizing transformation of fluorescence intensity data |
| cellHTS2 | Analysis of cell-based high-throughput screens |
| DEXSeq | Inference of differential exon usage in RNA-Seq |
| HilbertVis | Visualize long vectors of data using Hilbert curves |
| HTSeq | Processing and analyzing data from high-throughput sequencing assays |