SINGLE CELL BASED COMPUTATIONAL APPROACHES TO UNRAVEL DYSREGULATIONS IN DISEASES

Barlier, Celine

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Doctoral thesis (Dissertations and theses)

SINGLE CELL BASED COMPUTATIONAL APPROACHES TO UNRAVEL DYSREGULATIONS IN DISEASES

Barlier, Celine

2022

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https://hdl.handle.net/10993/52240

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Keywords :

Computational biology; Cell identity; Functional heterogeneity; Gene regulatory network; Single cell data

Disciplines :

Biochemistry, biophysics & molecular biology

Author, co-author :

Barlier, Celine ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Computational Biology

Language :

English

Title :

SINGLE CELL BASED COMPUTATIONAL APPROACHES TO UNRAVEL DYSREGULATIONS IN DISEASES

Defense date :

09 September 2022

Institution :

Unilu - University of Luxembourg, Luxembourg

Degree :

Docteur en Biologie

Promotor :

Del Sol Mesa, Antonio

President :

Schwamborn, Jens Christian

Jury member :

Sauter, Thomas

Arenas, Ernest

Marigorta, Urko Martínez

Focus Area :

Systems Biomedicine

FnR Project :

FNR12244779 - Molecular, Organellar And Cellular Quality Control In Parkinson'S Disease And Other Neurodegenerative Diseases, 2017 (01/05/2018-31/10/2024) - Jens Schwamborn

Funders :

FNR - Fonds National de la Recherche [LU]

Available on ORBilu :

since 26 September 2022

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