causal-learn
genome_integration
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| causal-learn | genome_integration | |
|---|---|---|
| 1 | 1 | |
| 982 | 11 | |
| 5.2% | - | |
| 7.9 | 0.0 | |
| 12 days ago | almost 2 years ago | |
| Python | Python | |
| MIT License | MIT License |
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causal-learn
genome_integration
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[D] Clustering high dimensional
Causal Genomic Analysis
What are some alternatives?
dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.
dodiscover - [Experimental] Global causal discovery algorithms
CausalPy - A Python package for causal inference in quasi-experimental settings
tfcausalimpact - Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
sections - Easy Python tree data structures
awesome-causality-algorithms - An index of algorithms for learning causality with data
looper - A resource list for causality in statistics, data science and physics
causalml - Uplift modeling and causal inference with machine learning algorithms
HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.