mims-harvard/scikit-fusion
scikit-fusion: Data fusion via collective latent factor models
This tool helps researchers and data scientists integrate and analyze multiple, diverse datasets (like gene expression, GO terms, and experimental conditions) to uncover hidden patterns and relationships. You input various datasets describing different entities and their connections, and it outputs a combined, lower-dimensional representation that reveals underlying factors influencing your data. This is ideal for those working with complex biological or other multi-modal data.
151 stars. No commits in the last 6 months.
Use this if you need to combine information from several different sources about related entities to gain a deeper understanding or make predictions.
Not ideal if your data is already unified or if you only need to analyze a single, isolated dataset.
Stars
151
Forks
44
Language
Python
License
—
Category
Last pushed
Aug 10, 2023
Commits (30d)
0
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