From post

Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning.

, , , , , , , и . IEEE Trans. Emerg. Top. Comput., 12 (1): 163-176 (января 2024)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

MHESMMR: a multilevel model for predicting the regulation of miRNAs expression by small molecules., , , , , , , и . BMC Bioinform., 25 (1): 6 (декабря 2024)Incorporation of Efficient Second-Order Solvers Into Latent Factor Models for Accurate Prediction of Missing QoS Data., , , , , , и . IEEE Trans. Cybern., 48 (4): 1216-1228 (2018)BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path., , , , и . J. Chem. Inf. Model., 63 (16): 5384-5394 (августа 2023)iGRLCDA: identifying circRNA-disease association based on graph representation learning., , , , , , и . Briefings Bioinform., (2022)A feature extraction method based on noise reduction for circRNA-miRNA interaction prediction combining multi-structure features in the association networks., , , , , , , и . Briefings Bioinform., (мая 2023)GraphTGI: an attention-based graph embedding model for predicting TF-target gene interactions., , , , , , , и . Briefings Bioinform., (2022)MicroRNAs and complex diseases: from experimental results to computational models., , , и . Briefings Bioinform., 20 (2): 515-539 (2019)A graph auto-encoder model for miRNA-disease associations prediction., , , , и . Briefings Bioinform., (2021)Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA-miRNA associations., , , , , , и . Briefings Bioinform., (января 2024)NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations., , , , , , и . Database J. Biol. Databases Curation, (2017)