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Fast inference in flexible high dimensional models of gene co-expression and genotype-gene expression interaction

dc.contributor.advisorSöding, Johannes Dr.
dc.contributor.authorMorice, Étienne
dc.date.accessioned2025-03-20T18:16:46Z
dc.date.available2025-03-27T00:50:04Z
dc.date.issued2025-03-20
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?ediss-11858/15898
dc.identifier.urihttp://dx.doi.org/10.53846/goediss-11154
dc.format.extent182de
dc.language.isoengde
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.ddc570de
dc.titleFast inference in flexible high dimensional models of gene co-expression and genotype-gene expression interactionde
dc.typedoctoralThesisde
dc.contributor.refereeBickeböller, Heike Prof. Dr.
dc.date.examination2024-11-28de
dc.description.abstractengAs more high-throughput sequencing data is produced from ever-growing human cohorts, understanding human biology becomes a more and more quantitative and statistical task. Starting notably with the data made available in 2020 by the Genotype-Gene Expression project, we undertake a systematic exploration of models to describe gene co-expression patterns, with a new emphasis on probabilistic modeling and predictive out-of-sample performance. We especially generalize some Bayesian linear models and the associated optimization methods to achieve scalability on thousands of genes and flexibility in the model by careful linear algebra manipulations. We then build on these foundation models and demonstrate their downstream usefulness by tackling their integration into state of the art expression quantitative trait loci discovery pipelines. In the process, we re-analyze and improve the control and multiple testing procedures that this objective requires. We eventually demonstrate how better co-expression modeling translates to increased genotype association discovery power, and overall aim to set an example of deep probabilistic integration of omics data in modern bioinformatics pipelines.de
dc.contributor.coRefereeKneib, Thomas Prof. Dr.
dc.subject.engGene co-expressionde
dc.subject.engRNA-Seq
dc.subject.engeQTL
dc.subject.engGTEx
dc.subject.engclustered MacKay
dc.subject.engCMK
dc.identifier.urnurn:nbn:de:gbv:7-ediss-15898-4
dc.affiliation.instituteBiologische Fakultät für Biologie und Psychologiede
dc.subject.gokfullBiologie (PPN619462639)de
dc.description.embargoed2025-03-27de
dc.identifier.ppn1920362444
dc.identifier.orcid0000-0001-8113-3769de
dc.notes.confirmationsentConfirmation sent 2025-03-20T19:45:02de


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