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Clustering and overlapping modules detection in PPI network based on IBFO.
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- Proteomics, 2013, v. 13, n. 2, p. 278, doi. 10.1002/pmic.201200309
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- Article
Evolutionary computation for solving search-based data analytics problems.
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- Artificial Intelligence Review, 2021, v. 54, n. 2, p. 1321, doi. 10.1007/s10462-020-09882-x
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- Article
Predicting circRNA–Disease Associations Based on Improved Collaboration Filtering Recommendation System With Multiple Data.
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- Frontiers in Genetics, 2019, p. 1, doi. 10.3389/fgene.2019.00897
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- Article
deepDriver: Predicting Cancer Driver Genes Based on Somatic Mutations Using Deep Convolutional Neural Networks.
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- Frontiers in Genetics, 2019, p. N.PAG, doi. 10.3389/fgene.2019.00013
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- Article
Protein Expression Changes in Anther Callus of Ginseng during Low-Temperature Acclimation.
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- Crop Science, 2013, v. 53, n. 4, p. 1571, doi. 10.2135/cropsci2012.11.0624
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- Article
Clustering PPI data by combining FA and SHC method.
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- BMC Genomics, 2015, v. 16, p. 1, doi. 10.1186/1471-2164-16-S3-S3
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- Article
Identifying the sequence specificities of circRNA-binding proteins based on a capsule network architecture.
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- BMC Bioinformatics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12859-020-03942-3
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- Article
Matrix factorization with neural network for predicting circRNA-RBP interactions.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-3514-x
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- Article
A dual graph neural network for drug–drug interactions prediction based on molecular structure and interactions.
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- PLoS Computational Biology, 2023, v. 19, n. 1, p. 1, doi. 10.1371/journal.pcbi.1010812
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- Article
A decomposition-based evolutionary algorithm with adaptive weight adjustment for many-objective problems.
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- Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2020, v. 24, n. 14, p. 10597, doi. 10.1007/s00500-019-04565-4
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- Article
Vitrification and proteomic analysis of embryogenic callus of Panax ginseng C. A. Meyer.
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- In Vitro Cellular & Developmental Biology Plant, 2021, v. 57, n. 1, p. 118, doi. 10.1007/s11627-020-10117-5
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- Article
Drug repositioning based on heterogeneous networks and variational graph autoencoders.
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- Frontiers in Pharmacology, 2022, v. 13, p. 1, doi. 10.3389/fphar.2022.1056605
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- Article
Drug Repositioning with GraphSAGE and Clustering Constraints Based on Drug and Disease Networks.
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- Frontiers in Pharmacology, 2022, v. 13, p. 1, doi. 10.3389/fphar.2022.872785
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- Article
Metapath Aggregated Graph Neural Network and Tripartite Heterogeneous Networks for Microbe-Disease Prediction.
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- Frontiers in Microbiology, 2022, v. 13, p. 1, doi. 10.3389/fmicb.2022.919380
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- Article
Drug Repositioning Based on Deep Sparse Autoencoder and Drug–Disease Similarity.
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- Interdisciplinary Sciences: Computational Life Sciences, 2024, v. 16, n. 1, p. 160, doi. 10.1007/s12539-023-00593-9
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- Article
MSResG: Using GAE and Residual GCN to Predict Drug–Drug Interactions Based on Multi-source Drug Features.
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- Interdisciplinary Sciences: Computational Life Sciences, 2023, v. 15, n. 2, p. 171, doi. 10.1007/s12539-023-00550-6
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- Article
Deep belief network–Based Matrix Factorization Model for MicroRNA-Disease Associations Prediction.
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- Evolutionary Bioinformatics, 2020, v. 16, p. 1, doi. 10.1177/1176934320919707
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Deep belief network–Based Matrix Factorization Model for MicroRNA-Disease Associations Prediction.
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- Evolutionary Bioinformatics, 2020, p. 1, doi. 10.1177/1176934320919707
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- Article
Improved flower pollination algorithm for identifying essential proteins.
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- BMC Systems Biology, 2018, v. 12, p. N.PAG
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- Article
Identification of circRNA‐disease associations via multi‐model fusion and ensemble learning.
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- Journal of Cellular & Molecular Medicine, 2024, v. 28, n. 7, p. 1, doi. 10.1111/jcmm.18180
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- Article
A Multiobjective Brain Storm Optimization Algorithm Based on Decomposition.
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- Complexity, 2019, p. 1, doi. 10.1155/2019/5301284
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- Article
A Decomposition-Based Multiobjective Evolutionary Algorithm with Adaptive Weight Adjustment.
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- Complexity, 2018, p. 1, doi. 10.1155/2018/1753071
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- Article
In vitro adventitious regeneration and plantlet transplantation of Atractylodes chinensis (DC.) Koidz., a valuable medicinal plant.
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- Plant Cell, Tissue & Organ Culture, 2023, v. 155, n. 1, p. 209, doi. 10.1007/s11240-023-02573-9
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- Article
Identifying Cancer-Specific circRNA–RBP Binding Sites Based on Deep Learning.
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- Molecules, 2019, v. 24, n. 22, p. 4035, doi. 10.3390/molecules24224035
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Feature Selection via Swarm Intelligence for Determining Protein Essentiality.
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- Molecules, 2018, v. 23, n. 7, p. 1569, doi. 10.3390/molecules23071569
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- Article
Neighbor Affinity-Based Core-Attachment Method to Detect Protein Complexes in Dynamic PPI Networks.
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- Molecules, 2017, v. 22, n. 7, p. 1223, doi. 10.3390/molecules22071223
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- Article
A Comparison of the Physiological Traits and Gene Expression of Brassinosteroids Signaling under Drought Conditions in Two Chickpea Cultivars.
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- Agronomy, 2023, v. 13, n. 12, p. 2963, doi. 10.3390/agronomy13122963
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- Article
Identification of Essential Proteins Based on Improved HITS Algorithm.
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- Genes, 2019, v. 10, n. 2, p. 177, doi. 10.3390/genes10020177
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- Article
CircR2Disease: a manually curated database for experimentally supported circular RNAs associated with various diseases.
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- Database: The Journal of Biological Databases & Curation, 2018, v. 2018, p. 1, doi. 10.1093/database/bay044
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- Article
Predicting Metabolite-Disease Associations Based on Linear Neighborhood Similarity with Improved Bipartite Network Projection Algorithm.
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- Complexity, 2020, p. 1, doi. 10.1155/2020/9342640
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- Article
BRWSP: Predicting circRNA-Disease Associations Based on Biased Random Walk to Search Paths on a Multiple Heterogeneous Network.
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- Complexity, 2019, p. 1, doi. 10.1155/2019/5938035
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- Article
Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A comprehensive approach.
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- Medicinal Research Reviews, 2022, v. 42, n. 1, p. 441, doi. 10.1002/med.21847
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Shifts in rhizosphere microbial communities in Oplopanax elatus Nakai are related to soil chemical properties under different growth conditions.
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- Scientific Reports, 2022, v. 12, n. 1, p. 1, doi. 10.1038/s41598-022-15340-1
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Fragment-pair based drug molecule solubility prediction through attention mechanism.
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- Frontiers in Pharmacology, 2023, p. 01, doi. 10.3389/fphar.2023.1255181
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- Article
Predicting metabolite-disease associations based on KATZ model.
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- BioData Mining, 2019, v. 12, n. 1, p. N.PAG, doi. 10.1186/s13040-019-0206-z
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- Article
Prediction of disease-related metabolites using bi-random walks.
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- PLoS ONE, 2019, v. 14, n. 11, p. 1, doi. 10.1371/journal.pone.0225380
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Protein complex detection with semi-supervised learning in protein interaction networks.
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- Proteome Science, 2011, v. 9, n. Suppl 1, p. 1, doi. 10.1186/1477-5956-9-S1-S5
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- Article
RMDGCN: Prediction of RNA methylation and disease associations based on graph convolutional network with attention mechanism.
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- PLoS Computational Biology, 2023, v. 19, n. 12, p. 1, doi. 10.1371/journal.pcbi.1011677
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- Article
Predicting Metabolite–Disease Associations Based on LightGBM Model.
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- Frontiers in Genetics, 2021, v. 11, p. N.PAG, doi. 10.3389/fgene.2021.660275
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- Article
Prioritizing CircRNA–Disease Associations With Convolutional Neural Network Based on Multiple Similarity Feature Fusion.
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- Frontiers in Genetics, 2020, v. 11, p. N.PAG, doi. 10.3389/fgene.2020.540751
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- Article
LITHOPHONE: Improving lncRNA Methylation Site Prediction Using an Ensemble Predictor.
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- Frontiers in Genetics, 2020, v. 11, p. 1, doi. 10.3389/fgene.2020.00545
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- Article
Whole-genome identification and expression profiling of growth-regulating factor (GRF) and GRF-interacting factor (GIF) gene families in Panax ginseng.
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- BMC Genomics, 2023, v. 24, n. 1, p. 1, doi. 10.1186/s12864-023-09435-w
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- Article
A quarter century of particle swarm optimization.
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- Complex & Intelligent Systems, 2018, v. 4, n. 3, p. 227, doi. 10.1007/s40747-018-0071-2
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- Article
MLRDFM: a multi-view Laplacian regularized DeepFM model for predicting miRNA-disease associations.
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- Briefings in Bioinformatics, 2022, v. 23, n. 3, p. 1, doi. 10.1093/bib/bbac079
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- Article
Predicting drug–drug interactions by graph convolutional network with multi-kernel.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab511
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- Article
Prediction of RBP binding sites on circRNAs using an LSTM-based deep sequence learning architecture.
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- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab342
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A comprehensive survey on computational methods of non-coding RNA and disease association prediction.
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- Briefings in Bioinformatics, 2021, v. 22, n. 4, p. 1, doi. 10.1093/bib/bbaa350
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- Article
Identification and analysis of BAHD superfamily related to malonyl ginsenoside biosynthesis in Panax ginseng.
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- Frontiers in Plant Science, 2023, p. 1, doi. 10.3389/fpls.2023.1301084
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- Article
Predicting Microbe-Disease Association by Learning Graph Representations and Rule-Based Inference on the Heterogeneous Network.
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- Frontiers in Microbiology, 2020, p. 1, doi. 10.3389/fmicb.2020.00579
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- Article
Machine learning approaches for predicting biomolecule–disease associations.
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- Briefings in Functional Genomics, 2021, v. 20, n. 4, p. 273, doi. 10.1093/bfgp/elab002
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- Article