Causal effects in microbiomes using interventional calculus
Abstract Causal inference in biomedical research allows us to shift the paradigm from investigating associational relationships to causal ones. Inferring causal relationships can help in understanding the inner workings of biological processes. Association patterns can be coincidental and may lead t...
Guardado en:
Autores principales: | Musfiqur Sazal, Vitalii Stebliankin, Kalai Mathee, Changwon Yoo, Giri Narasimhan |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/0974e667ee9d426d989defda541b8088 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Dynamic Bayesian Networks for Integrating Multi-omics Time Series Microbiome Data
por: Daniel Ruiz-Perez, et al.
Publicado: (2021) -
Calculus
por: Apostol, Tom M
Publicado: (2004) -
Effectiveness of decontamination protocols when analyzing ancient DNA preserved in dental calculus
por: Andrew G. Farrer, et al.
Publicado: (2021) -
Multi-Run Concrete Autoencoder to Identify Prognostic lncRNAs for 12 Cancers
por: Abdullah Al Mamun, et al.
Publicado: (2021) -
Advances in calculus of variations
Publicado: (2008)