SINGLE CELL BASED COMPUTATIONAL APPROACHES TO UNRAVEL DYSREGULATIONS IN DISEASES

Reference : SINGLE CELL BASED COMPUTATIONAL APPROACHES TO UNRAVEL DYSREGULATIONS IN DISEASES


	Document type :	Dissertations and theses : Doctoral thesis
	Discipline(s) :	Life sciences : Biochemistry, biophysics & molecular biology
	Focus Areas :	Systems Biomedicine
	To cite this reference:	http://hdl.handle.net/10993/52240

Title :	SINGLE CELL BASED COMPUTATIONAL APPROACHES TO UNRAVEL DYSREGULATIONS IN DISEASES
Language :	English
Author, co-author :	Barlier, Celine [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Computational Biology >]
Publication date :	9-Sep-2022
Institution :	University of Luxembourg, Luxembourg
Name of the degree :	Docteur en Biologie
Supervisor :	Del Sol Mesa, Antonio
President of the jury :	Schwamborn, Jens Christian
Member of the jury :	Sauter, Thomas
	Arenas, Ernest
	Marigorta, Urko Martínez
Keywords :	[en] Computational biology ; Cell identity ; Functional heterogeneity ; Gene regulatory network ; Single cell data
Funders :	Fonds National de la Recherche - FnR
Permalink :	http://hdl.handle.net/10993/52240
FnR project :	FnR ; FNR12244779 > Jens Schwamborn > PARK-QC > Molecular, Organellar And Cellular Quality Control In Parkinson’S Disease And Other Neurodegenerative Diseases > 01/05/2018 > 31/10/2024 > 2017

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