Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Raphael Romero"'
Publikováno v:
IEEE Access, Vol 11, Pp 117971-117983 (2023)
Representing the nodes of continuous-time temporal graphs in a low-dimensional latent space has wide-ranging applications, from prediction to visualization. Yet, analyzing continuous-time relational data with timestamped interactions introduces uniqu
Externí odkaz:
https://doaj.org/article/52105b9fdb8f4b7dab0b81e31ccfe0f9
Autor:
Raphaël Romero, Christophe Menichelli, Christophe Vroland, Jean-Michel Marin, Sophie Lèbre, Charles-Henri Lecellier, Laurent Bréhélin
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-28 (2024)
Abstract Characterizing the binding preferences of transcription factors (TFs) in different cell types and conditions is key to understand how they orchestrate gene expression. Here, we develop TFscope, a machine learning approach that identifies seq
Externí odkaz:
https://doaj.org/article/03942e42bd2649fa81488635ed682f3f
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3516 (2024)
Dynamic Link Prediction (DLP) addresses the prediction of future links in evolving networks. However, accurately portraying the performance of DLP algorithms poses challenges that might impede progress in the field. Importantly, common evaluation pip
Externí odkaz:
https://doaj.org/article/e9a866bc1d40441e8cc3437857aad304