INTEGRATIVE APPROACH TO PREDICT SIGNALLING PERTURBATIONS FOR CELLULAR TRANSITIONS: APPLICATION TO REGENERATIVE AND DISEASE MODELS

Zaffaroni, Gaia

Doctoral thesis (Dissertations and theses)

Zaffaroni, Gaia

2019

Permalink
https://hdl.handle.net/10993/40405

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

Thesis-Zaffaroni-archive.pdf

Author preprint (10.47 MB)

Download

All documents in ORBilu are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Keywords :

systems biology; cellular transitions; computational biology

Research center :

Luxembourg Centre for Systems Biomedicine (LCSB)

Disciplines :

Life sciences: Multidisciplinary, general & others

Author, co-author :

Zaffaroni, Gaia ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)

Language :

English

Title :

INTEGRATIVE APPROACH TO PREDICT SIGNALLING PERTURBATIONS FOR CELLULAR TRANSITIONS: APPLICATION TO REGENERATIVE AND DISEASE MODELS

Defense date :

12 September 2019

Number of pages :

155

Institution :

Unilu - University of Luxembourg, Esch-sur-Alzette, Luxembourg

Degree :

Docteur en Biologie

Promotor :

del Sol Mesa, Antonio

President :

Sauter, Thomas

Jury member :

Glaab, Enrico

Knapp, Dunja

Focus Area :

Systems Biomedicine

FnR Project :

FNR10035087 - Integrating Gene Regulatory Network And Signalling Pathways To Model Niche Interactions – Application To Salamander Limb Regeneration, 2015 (01/09/2015-31/08/2019) - Gaia Zaffaroni

Funders :

FNR - Fonds National de la Recherche [LU]

Available on ORBilu :

since 17 September 2019

Statistics

Number of views

121 (30 by Unilu)

Number of downloads

185 (17 by Unilu)

More statistics