Cargando…
A Two-Stage Exon Recognition Model Based on Synergetic Neural Network
Exon recognition is a fundamental task in bioinformatics to identify the exons of DNA sequence. Currently, exon recognition algorithms based on digital signal processing techniques have been widely used. Unfortunately, these methods require many calculations, resulting in low recognition efficiency....
Autores principales: | Huang, Zhehuang, Chen, Yidong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3984832/ https://www.ncbi.nlm.nih.gov/pubmed/24790638 http://dx.doi.org/10.1155/2014/503132 |
Ejemplares similares
-
Log-Linear Model Based Behavior Selection Method for Artificial Fish Swarm Algorithm
por: Huang, Zhehuang, et al.
Publicado: (2015) -
Modern Synergetic Neural Network for Synthetic Aperture Radar Target Recognition
por: Wang, Zihao, et al.
Publicado: (2023) -
Modern synergetic neural network for imbalanced small data classification
por: Wang, Zihao, et al.
Publicado: (2023) -
Synergetics
por: Hutt, Axel, et al.
Publicado: (2020) -
Convolutional neural network models for cancer type prediction based on gene expression
por: Mostavi, Milad, et al.
Publicado: (2020)