Multi-omics data integration techniques and Structural Equation Models combined to infer causal relationships among correlated variables - Sorbonne Université Access content directly
Conference Poster Year : 2019

Multi-omics data integration techniques and Structural Equation Models combined to infer causal relationships among correlated variables

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Mathematics [math] Data Analysis, Statistics and Probability [physics.data-an]

Federica Martina  : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-03978541

Submitted on : Wednesday, February 8, 2023-12:04:29 PM

Last modification on : Friday, March 24, 2023-2:53:31 PM

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hal-03978541 , version 1 (08-02-2023)

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  • HAL Id : hal-03978541 , version 1

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Federica Martina. Multi-omics data integration techniques and Structural Equation Models combined to infer causal relationships among correlated variables. Statistical Physics Approaches to Systems Biology, Feb 2019, Havana, Cuba. ⟨hal-03978541⟩

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CNRS INSMI I3 SORBONNE-UNIVERSITE SU-MEDECINE
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