Impact of U2-Type Introns on Splice Site Prediction in Arabidopsis Thaliana Using Deep Learning

Poster (Scientific congresses and symposiums)

Kabanga, Espoir; Yun, Soeun; Van Messem, Arnout et al.

2024 • IGC Research Showcase 2024

Permalink
https://hdl.handle.net/2268/319011

GUGC_Poster_Kabanga Espoir.pptx

Author postprint (2.61 MB)

All documents in ORBi are protected by a user license.

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

Number of views

23 (0 by ULiège)

Number of downloads

11 (0 by ULiège)