Causal integration of multi-omics data with prior knowledge to generate mechanistic hypotheses

Multi-omics datasets can provide molecular insights beyond the sum of individual omics. Various tools have been recently developed to integrate such datasets, but there are limited strategies to systematically extract mechanistic hypotheses from them. Here, we present COSMOS (Causal Oriented Search...

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Bibliographic Details
Main Author: Dugourd, Aurelien (author)
Other Authors: Kuppe, Christoph (author), Sciacovelli, Marco (author), Gjerga, Enio (author), Gabor, Attila (author), Emdal, Kristina B. (author), Vieira, Vítor (author), Bekker-Jensen, Dorte B. (author), Kranz, Jennifer (author), Bindels, Eric. M. J. (author), Costa, Ana S. H. (author), Sousa, Abel (author), Beltrao, Pedro (author), Rocha, Miguel (author), Olsen, Jesper V. (author), Frezza, Christian (author), Kramann, Rafael (author), Saez-Rodriguez, Julio (author)
Format: article
Language:eng
Published: 2021
Subjects:
causal reasoning
kidney cancer
metabolism
multi-omics
signaling
Science & Technology
Online Access:http://hdl.handle.net/1822/70002
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/70002

Internet

http://hdl.handle.net/1822/70002

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