genome_integration
MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods. (by adriaan-vd-graaf)
awesome-causality-algorithms
An index of algorithms for learning causality with data (by rguo12)
| genome_integration | awesome-causality-algorithms | |
|---|---|---|
| 1 | 1 | |
| 11 | 3,232 | |
| - | 0.6% | |
| 0.0 | 2.2 | |
| over 3 years ago | 11 months ago | |
| Python | ||
| MIT License | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
genome_integration
Posts with mentions or reviews of genome_integration. We have used some of these posts to build our list of alternatives and similar projects.
- [D] Clustering high dimensional
Causal Genomic Analysis
awesome-causality-algorithms
Posts with mentions or reviews of awesome-causality-algorithms. We have used some of these posts to build our list of alternatives and similar projects.
- Why the world needs computational social science
https://github.com/rguo12/awesome-causality-algorithms
"The limits of graphical causal discovery" (2021)
What are some alternatives?
When comparing genome_integration and awesome-causality-algorithms you can also consider the following projects:
causal-learn - Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
HumesGuillotine - Hume's Guillotine: Beheading the social pseudo-sciences with the Algorithmic Information Criterion for CAUSAL model selection.
CausalPy - A Python package for causal inference in quasi-experimental settings
looper - A resource list for causality in statistics, data science and physics
enformer-pytorch - Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch
LightFM - A Python implementation of LightFM, a hybrid recommendation algorithm.