MLOLab
@mlolab.bsky.social
We are doing application and collaboration driven development of interpretable and statistically sound machine learning methods for understanding disease heterogeneity
November 7, 2025 at 10:27 AM
Capture spatial or temporal structure with Gaussian-process priors.
November 7, 2025 at 10:27 AM
Capture spatial or temporal structure with Gaussian-process priors.
Enhance interpretability by incorporating domain knowledge.
November 7, 2025 at 10:26 AM
Enhance interpretability by incorporating domain knowledge.
Modular by design — tailor MOFA-FLEX to your data assumptions and analysis needs.
November 7, 2025 at 10:26 AM
Modular by design — tailor MOFA-FLEX to your data assumptions and analysis needs.
MOFA-FLEX builds flexible factor models for multi-omics data in just a few lines.
Read more: mofaflex.readthedocs.io/stable
Read more: mofaflex.readthedocs.io/stable
November 7, 2025 at 10:26 AM
MOFA-FLEX builds flexible factor models for multi-omics data in just a few lines.
Read more: mofaflex.readthedocs.io/stable
Read more: mofaflex.readthedocs.io/stable