A task-specific encoding algorithm for RNAs and RNA-associated interactions based on convolutional autoencoder.
Nucleic Acids Res
; 51(21): e110, 2023 Nov 27.
Article
en En
| MEDLINE
| ID: mdl-37889083
ABSTRACT
RNAs play essential roles in diverse physiological and pathological processes by interacting with other molecules (RNA/protein/compound), and various computational methods are available for identifying these interactions. However, the encoding features provided by existing methods are limited and the existing tools does not offer an effective way to integrate the interacting partners. In this study, a task-specific encoding algorithm for RNAs and RNA-associated interactions was therefore developed. This new algorithm was unique in (a) realizing comprehensive RNA feature encoding by introducing a great many of novel features and (b) enabling task-specific integration of interacting partners using convolutional autoencoder-directed feature embedding. Compared with existing methods/tools, this novel algorithm demonstrated superior performances in diverse benchmark testing studies. This algorithm together with its source code could be readily accessed by all user at https//idrblab.org/corain/ and https//github.com/idrblab/corain/.
Texto completo:
1
Colección:
01-internacional
Banco de datos:
MEDLINE
Asunto principal:
ARN
/
Biología Computacional
Idioma:
En
Revista:
Nucleic Acids Res
Año:
2023
Tipo del documento:
Article
País de afiliación:
China