Aristotle: stratified causal discovery for omics data

Aristotle: stratified causal discovery for omics data

Abstract Background There has been a simultaneous increase in demand and accessibility across genomics, transcriptomics, proteomics and metabolomics data, known as omics data. This has encouraged widespread application of omics data in life sciences, from personalized medicine to the discovery of un...

Full description

Bibliographic Details
Main Authors: Mehrdad Mansouri, Sahand Khakabimamaghani, Leonid Chindelevitch, Martin Ester
Format: Article
Language:English
Published: BMC 2022-01-01
Series:BMC Bioinformatics
Subjects:
Causal discovery
Stratification
Biclustering
Quasi-experiment
Online Access:https://doi.org/10.1186/s12859-021-04521-w

Internet

https://doi.org/10.1186/s12859-021-04521-w

Similar Items