Local machine learning-based feature importances for gene regulatory network inference
Kerff, Alexandre
Promotor(s) :
Geurts, Pierre
;
Huynh-Thu, Vân Anh
Date of defense : 5-Sep-2024/6-Sep-2024 • Permalink : http://hdl.handle.net/2268.2/21141
Details
Title : | Local machine learning-based feature importances for gene regulatory network inference |
Author : | Kerff, Alexandre ![]() |
Date of defense : | 5-Sep-2024/6-Sep-2024 |
Advisor(s) : | Geurts, Pierre ![]() Huynh-Thu, Vân Anh ![]() |
Committee's member(s) : | Sacré, Pierre ![]() Van Steen, Kristel ![]() |
Language : | English |
Keywords : | [en] Gene regulatory networks [en] Local feature importance [en] cell-specific network inference |
Discipline(s) : | Engineering, computing & technology > Computer science |
Complementary URL : | https://zenodo.org/records/13352287?token=eyJhbGciOiJIUzUxMiJ9.eyJpZCI6IjE2YzhlYzdmLTEzZjAtNDQ4Zi05NTRlLTA0NGU5MGEyZWQwNCIsImRhdGEiOnt9LCJyYW5kb20iOiJhYmI0Zjg2ZjAxMzg5ZmZjMGVhNjVmMmI5YWU3NGVkNyJ9.oG7B5lpZcrO-7w5tk9PKbAKOUD0ydnQ7CX558j7LoZhjw_SAYZLAL5B-gctSN-O7kRl6bY6QS8UWyJJB0-qNyw https://github.com/AlexandreKff/LocalFIGRN/tree/main |
Institution(s) : | Université de Liège, Liège, Belgique |
Degree: | Master : ingénieur civil en informatique, à finalité spécialisée en "management" |
Faculty: | Master thesis of the Faculté des Sciences appliquées |
Abstract
[fr] Understanding how a cell (or organism) reacts to a change in the environment or disturbance requires an understanding of the intricate processes controlling gene expression and, therefore, protein synthesis. A common representation of these mechanisms is the gene regulatory network, that aims at defining the regulation links between genes as a set of interactions. Inferring those gene regulatory networks from expression data has been a widely studied field at the level of bulk expression data. However, recent breakthroughs in sequencing technologies enables measurements at the resolution of a single cell. Such data allows the development of research towards the analysis of gene regulatory networks for a single specific cell or for a distinct cell type, rather than global interactions. This thesis has the objective to perform these analyses.
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APA
Kerff, A. (2024). Local machine learning-based feature importances for gene regulatory network inference. (Unpublished master's thesis). Université de Liège, Liège, Belgique. Retrieved from https://matheo.uliege.be/handle/2268.2/21141
Chicago
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