MOFA2: Multi-Omics Factor Analysis
Generative Model
X_m = Z @ W_m.T + noise, for each omics view m.
- Z (N x K): shared latent factors across views
- W_m (D_m x K): view-specific feature weights
Usage
# Via mofapy2
from mofapy2.run.entry_point import entry_point
ent = entry_point()
ent.set_data_options(scale_groups=False, scale_views=True)
ent.set_
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