Cargando…
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
BACKGROUND: Non-coding RNAs (ncRNAs) play crucial roles in many biological processes, such as post-transcription of gene regulation. ncRNAs mainly function through interaction with RNA binding proteins (RBPs). To understand the function of a ncRNA, a fundamental step is to identify which protein is...
Autores principales: | Pan, Xiaoyong, Fan, Yong-Xian, Yan, Junchi, Shen, Hong-Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4979166/ https://www.ncbi.nlm.nih.gov/pubmed/27506469 http://dx.doi.org/10.1186/s12864-016-2931-8 |
Ejemplares similares
-
RPI-SE: a stacking ensemble learning framework for ncRNA-protein interactions prediction using sequence information
por: Yi, Hai-Cheng, et al.
Publicado: (2020) -
Adjacent Nucleotide Dependence in ncRNA and Order-1 SCFG for ncRNA Identification
por: Wong, Thomas K. F., et al.
Publicado: (2010) -
A multi-network integration approach for measuring disease similarity based on ncRNA regulation and heterogeneous information
por: Zhang, Ningyi, et al.
Publicado: (2022) -
A Keystone for ncRNA
por: Hacisuleyman, Ezgi, et al.
Publicado: (2012) -
RNAspa: a shortest path approach for comparative prediction of the secondary structure of ncRNA molecules
por: Horesh, Yair, et al.
Publicado: (2007)