LPI-HyADBS: a hybrid framework for lncRNA-protein interaction prediction integrating feature selection and classification
Abstract Background Long noncoding RNAs (lncRNAs) have dense linkages with a plethora of important cellular activities. lncRNAs exert functions by linking with corresponding RNA-binding proteins. Since experimental techniques to detect lncRNA-protein interactions (LPIs) are laborious and time-consum...
Enregistré dans:
Auteurs principaux: | Liqian Zhou, Qi Duan, Xiongfei Tian, He Xu, Jianxin Tang, Lihong Peng |
---|---|
Format: | article |
Langue: | EN |
Publié: |
BMC
2021
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/433182be94124af091c9a52af13c127c |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
LPI-EnEDT: an ensemble framework with extra tree and decision tree classifiers for imbalanced lncRNA-protein interaction data classification
par: Lihong Peng, et autres
Publié: (2021) -
SVDNVLDA: predicting lncRNA-disease associations by Singular Value Decomposition and node2vec
par: Jianwei Li, et autres
Publié: (2021) -
LGFC-CNN: Prediction of lncRNA-Protein Interactions by Using Multiple Types of Features through Deep Learning
par: Lan Huang, et autres
Publié: (2021) -
A four-lncRNA signature for predicting prognosis of recurrence patients with gastric cancer
par: Chen Qiang, et autres
Publié: (2021) -
Upregulation of lncRNA BANCR associated with the lymph node metastasis and poor prognosis in colorectal cancer
par: Shen,Xiaogang, et autres
Publié: (2017)