Author

Meemansa Sood

University of BonnORCID 0000-0002-0862-3806Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Assay:electronic health records· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Holger FröhlichiD· 2 shared Akrishta Sahay· 1 shared Aybuge AltayiD· 1 shared Bruce T. SchultziD· 1 shared Christian EbelingiD· 1 shared Luise Gootjes-Dreesbach· 1 shared Martin Hofmann‐ApitiusiD· 1 shared Tamara RaschkaiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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2 shared papersSystems Biology

Holger FröhlichORCID

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2 papers

Recent·Most cited

Systems BiologyPLoS Computational BiologyPeer-reviewedFeb 13, 2023

AI reveals insights into link between CD33 and cognitive impairment in Alzheimer's Disease

Tamara Raschka, Meemansa Sood, Bruce T. Schultz…·Holger Fröhlich

This paper develops an AI model to simulate CD33 down-expression effects on cognitive impairment in Alzheimer's Disease, validated with cell line data.

5 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsFrontiers in Big DataPeer-reviewedMay 28, 2020

Variational Autoencoder Modular Bayesian Networks (VAMBN) for Simulation of Heterogeneous Clinical Study Data

Luise Gootjes-Dreesbach, Meemansa Sood, Akrishta Sahay…·Holger Fröhlich

This paper introduces VAMBN, a variational autoencoder modular Bayesian network for simulating realistic clinical study data while ensuring privacy and enabling counterfactual scenarios.

36 citations

electronic health recordsvariational autoencoder

𝕏 PostBluesky