Poster (Scientific congresses and symposiums)
Impact of U2-Type Introns on Splice Site Prediction in Arabidopsis Thaliana Using Deep Learning
Kabanga, Espoir; Yun, Soeun; Van Messem, Arnout et al.
2024IGC Research Showcase 2024
 

Files


Full Text
GUGC_Poster_Kabanga Espoir.pptx
Author postprint (2.61 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Disciplines :
Computer science
Biotechnology
Author, co-author :
Kabanga, Espoir
Yun, Soeun
Van Messem, Arnout  ;  Université de Liège - ULiège > Département de mathématique > Statistique appliquée aux sciences
De Neve, Wesley
Language :
English
Title :
Impact of U2-Type Introns on Splice Site Prediction in Arabidopsis Thaliana Using Deep Learning
Publication date :
10 May 2024
Event name :
IGC Research Showcase 2024
Event organizer :
Incheon Global Campus
Event place :
South Korea
Event date :
May 10, 2024
Available on ORBi :
since 31 May 2024

Statistics


Number of views
1 (0 by ULiège)
Number of downloads
1 (0 by ULiège)

Bibliography


Similar publications



Contact ORBi