Research graph
References from BioPrediction-RPI: Democratizing the prediction of interaction between non-coding RNA and protein with end-to-end machine learning. Local targets link to admitted publications; unresolved targets remain external evidence.
10.1038/s41568-022-00502-0
10.1038/s41568-022-00502-0 · External reference
Intelligent mining of large-scale bio-data: bioinformatics applications
10.1080/13102818.2017.1364977 · 2018 · External reference
Microbiome big-data mining and applications using single-cell technologies and metagenomics approaches toward precision medicine
2019 · External reference
Worldwide protein data bank (wwpdb): a virtual treasure for research in biotechnology
10.1556/1886.2021.00020 · 2021 · External reference
Ten quick tips for machine learning in computational biology
10.1186/s13040-017-0155-3 · 2017 · External reference
Long non-coding rna bnip3 inhibited the proliferation of bovine intramuscular preadipocytes via cell cycle
2023 · External reference
10.1016/j.cell.2018.01.011
10.1016/j.cell.2018.01.011 · External reference
The role of lncrna-mediated cerna regulatory networks in pancreatic cancer
10.1038/s41420-022-01061-x · 2022 · External reference
Functional interaction among lncrna hotair and micrornas in cancer and other human diseases
2021 · External reference
BioAutoML: automated feature engineering and metalearning to predict noncoding RNAs in bacteria
2022 · External reference
Automated machine learning: review of the state-of-the-art and opportunities for healthcare
10.1016/j.artmed.2020.101822 · 2020 · External reference
10.1016/j.cjca.2021.09.004
10.1016/j.cjca.2021.09.004 · External reference
10.1038/s42256-019-0048-x
10.1038/s42256-019-0048-x · External reference
Unresolved reference
External reference
10.18653/v1/n16-3020
10.18653/v1/n16-3020 · External reference
10.1016/j.ijinfomgt.2023.102642
10.1016/j.ijinfomgt.2023.102642 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2023 · External reference
Democratizing artificial intelligence imaging analysis with automated machine learning: tutorial
10.2196/49949 · 2023 · External reference
Rpiter: a hierarchical deep learning framework for ncrna-protein interaction prediction
10.3390/ijms20051070 · 2019 · External reference
Ipminer: hidden ncrna-protein interaction sequential pattern mining with stacked autoencoder for accurate computational prediction
10.1186/s12864-016-2931-8 · 2016 · External reference
Edlmfc: an ensemble deep learning framework with multi-scale features combination for ncrna–protein interaction prediction
10.1186/s12859-021-04069-9 · 2021 · External reference
LPI-deepGBDT: a multiple-layer deep framework based on gradient boosting decision trees for lncrna–protein interaction identification
10.1186/s12859-021-04399-8 · 2021 · External reference
EnANNDeep: an ensemble-based lncRNA-protein interaction prediction framework with adaptive k-nearest neighbor classifier and deep models
10.1007/s12539-021-00483-y · 2022 · 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
Predicting rna-protein interactions using only sequence information
10.1186/1471-2105-12-489 · 2011 · External reference
10.1186/1471-2164-14-651
10.1186/1471-2164-14-651 · External reference
Construction of complex features for computational predicting ncrna–protein interaction
2019 · External reference
Multi-feature fusion for deep learning to predict plant lncrna-protein interaction
10.1016/j.ygeno.2020.05.005 · 2020 · External reference
Accurate prediction of protein-lncrna interactions by diffusion and hetesim features across heterogeneous network
10.1186/s12859-018-2390-0 · 2018 · External reference
Lpi-skf: predicting lncrna-protein interactions using similarity kernel fusions
2020 · External reference
Predicting lncrna-protein interactions with mirnas as mediators in a heterogeneous network model
10.3389/fgene.2019.01341 · 2020 · External reference
Mathfeature: feature extraction package for dna, rna and protein sequences based on mathematical descriptors
2021 · External reference
10.1109/bibm.2017.8217729
10.1109/bibm.2017.8217729 · 2017 · External reference
Prediction of protein-protein interactions with local weight-sharing mechanism in deep learning
10.1155/2020/5072520 · 2020 · External reference
10.1038/s42256-019-0138-9
10.1038/s42256-019-0138-9 · External reference
Multi-feature fusion for deep learning to predict plant lncrna-protein interaction
10.1016/j.ygeno.2020.05.005 · 2020 · External reference
10.1093/bioinformatics/btz328
10.1093/bioinformatics/btz328 · External reference
Gtb-ppi: predict protein–protein interactions based on l1-regularized logistic regression and gradient tree boosting
10.1016/j.gpb.2021.01.001 · 2020 · External reference
10.3390/molecules23081923
10.3390/molecules23081923 · External reference
Sequence-based prediction of protein-protein interaction using a deep-learning algorithm
10.1186/s12859-017-1700-2 · 2017 · External reference
10.1093/nar/gkn159
10.1093/nar/gkn159 · External reference
Prediction of protein-protein interactions from protein sequence using local descriptors
2010 · External reference
