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References from ncRPI-LGAT: Prediction of ncRNA-protein interactions with line graph attention network framework. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1038/nature07672
10.1038/nature07672 · External reference
More uses for genomic junk
10.1038/543183a · 2017 · External reference
10.1093/hmg/ddl046
10.1093/hmg/ddl046 · External reference
Non-coding RNAs: classification, biology and functioning
10.1007/978-3-319-42059-2_1 · 2016 · External reference
10.4161/epi.27473
10.4161/epi.27473 · External reference
10.3892/or.2016.5236
10.3892/or.2016.5236 · External reference
10.1038/nrg3074
10.1038/nrg3074 · External reference
10.1038/nrc.2017.99
10.1038/nrc.2017.99 · External reference
10.3390/ijms17091396
10.3390/ijms17091396 · External reference
10.1038/nature07488
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10.1016/j.cell.2010.03.009
10.1016/j.cell.2010.03.009 · External reference
10.1038/nprot.2006.47
10.1038/nprot.2006.47 · External reference
10.1038/nbt.1550
10.1038/nbt.1550 · External reference
LPI-SKF: predicting lncRNA-protein interactions using similarity kernel fusions
10.3389/fgene.2020.615144 · 2020 · External reference
Predicting lncRNA–protein interactions with miRNAs as mediators in a heterogeneous network model
10.3389/fgene.2019.01341 · 2020 · External reference
A semi-supervised method for predicting transcription factor–gene interactions in Escherichia coli
10.1371/journal.pcbi.1000044 · 2008 · External reference
10.1073/pnas.1303236110
10.1073/pnas.1303236110 · External reference
10.1016/j.neucom.2017.07.065
10.1016/j.neucom.2017.07.065 · External reference
SFPEL-LPI: sequence-based feature projection ensemble learning for predicting LncRNA-protein interactions
10.1371/journal.pcbi.1006616 · 2018 · External reference
NPI-GNN: predicting ncRNA–protein interactions with deep graph neural networks
2021 · External reference
Predicting long noncoding RNA and protein interactions using heterogeneous network model
2015 · External reference
A bipartite network-based method for prediction of long non-coding RNA–protein interactions
10.1016/j.gpb.2016.01.004 · 2016 · External reference
Lpi-ibnra: long non-coding rna-protein interaction prediction based on improved bipartite network recommender algorithm
10.3389/fgene.2019.00343 · 2019 · External reference
Predicting RNA-protein interactions using only sequence information
10.1186/1471-2105-12-489 · 2011 · External reference
RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information
10.1093/nar/gkv020 · 2015 · External reference
rpiCOOL: a tool for in silico RNA–protein interaction detection using random forest
10.1016/j.jtbi.2016.04.025 · 2016 · External reference
IPMiner: hidden ncRNA-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
2016 · External reference
10.1016/j.omtn.2018.03.001
10.1016/j.omtn.2018.03.001 · External reference
10.1016/j.jtbi.2018.10.029
10.1016/j.jtbi.2018.10.029 · External reference
LncADeep: an ab initio lncRNA identification and functional annotation tool based on deep learning
10.1093/bioinformatics/bty428 · 2018 · External reference
LPI-BLS: predicting lncRNA–protein interactions with a broad learning system-based stacked ensemble classifier
10.1016/j.neucom.2019.08.084 · 2019 · External reference
DM-RPIs: predicting ncRNA-protein interactions using stacked ensembling strategy
10.1016/j.compbiolchem.2019.107088 · 2019 · External reference
BGFE: a deep learning model for ncRNA-protein interaction predictions based on improved sequence information
10.3390/ijms20040978 · 2019 · External reference
EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA–protein interaction prediction
2021 · External reference
A deep learning model for plant lncRNA-protein interaction prediction with graph attention
10.1007/s00438-020-01682-w · 2020 · External reference
De novo prediction of RNA-protein interactions with graph neural networks
10.1261/rna.079365.122 · 2022 · External reference
Graph neural networks: a review of methods and applications
10.1016/j.aiopen.2021.01.001 · 2020 · External reference
Unresolved reference
External reference
Graph u-nets, international conference on machine learning
2019 · External reference
Link prediction based on graph neural networks
2018 · External reference
Line graph neural networks for link prediction
2021 · External reference
NPInter v2. 0: an updated database of ncRNA interactions
10.1093/nar/gkt1057 · 2014 · External reference
10.1016/j.omtn.2018.09.020
10.1016/j.omtn.2018.09.020 · External reference
10.1093/nar/gkr1175
10.1093/nar/gkr1175 · External reference
Update on activities at the Universal Protein Resource (UniProt) in 2013
10.1093/nar/gks1068 · 2012 · External reference
10.1093/nar/gky955
10.1093/nar/gky955 · External reference
10.1093/nar/28.1.235
10.1093/nar/28.1.235 · External reference
LPI-CNNCP: prediction of lncRNA-protein interactions by using convolutional neural network with the copy-padding trick
10.1016/j.ab.2020.113767 · 2020 · External reference
10.1145/2939672.2939754
10.1145/2939672.2939754 · External reference
How attentive are graph attention networks?
2021 · External reference
Graph attention networks
2017 · External reference
Recommendations for management of clinically significant drug-drug interactions with statins and select agents used in patients with cardiovascular disease: a scientific statement from the American Heart Association
10.1161/cir.0000000000000456 · 2016 · External reference
10.1145/371920.372071
10.1145/371920.372071 · External reference
10.1093/nar/gkx1107
10.1093/nar/gkx1107 · External reference
Matrix factorization with neural network for predicting circRNA-RBP interactions
10.1186/s12859-020-3514-x · 2020 · External reference
NPInter v4. 0: an integrated database of ncRNA interactions
2020 · External reference