MIDAA: deep archetypal analysis for interpretable multi-omic data integration based on biological principles
Abstract High-throughput multi-omic molecular profiling allows the probing of biological systems at unprecedented resolution. However, integrating and interpreting high-dimensional, sparse, and noisy multimodal datasets remains challenging. Deriving new biological insights with current methods is di...
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| Main Authors: | Salvatore Milite, Giulio Caravagna, Andrea Sottoriva |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
|
| Series: | Genome Biology |
| Online Access: | https://doi.org/10.1186/s13059-025-03530-9 |
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