( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction.

, , , , , , и . Briefings Bioinform., (2022)

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.

Bo Zhao

Bo Zhao

Bo Zhao

Wei Zhao

Meng-Wei Zhao

 

Другие публикации лиц с тем же именем

Biocaiv: an integrative webserver for motif-based clustering analysis and interactive visualization of biological networks., , , , , , , и . BMC Bioinform., 24 (1): 451 (декабря 2023)RLFDDA: a meta-path based graph representation learning model for drug-disease association prediction., , , , , и . BMC Bioinform., 23 (1): 516 (2022)iGRLCDA: identifying circRNA-disease association based on graph representation learning., , , , , , и . Briefings Bioinform., (2022)Likelihood-based feature representation learning combined with neighborhood information for predicting circRNA-miRNA associations., , , , , , и . Briefings Bioinform., (января 2024)Incorporating higher order network structures to improve miRNA-disease association prediction based on functional modularity., , , , , и . Briefings Bioinform., (января 2023)A machine learning framework based on multi-source feature fusion for circRNA-disease association prediction., , , , , , и . Briefings Bioinform., (2022)A deep learning method for repurposing antiviral drugs against new viruses via multi-view nonnegative matrix factorization and its application to SARS-CoV-2., , , , , и . Briefings Bioinform., (2022)A geometric deep learning framework for drug repositioning over heterogeneous information networks., , , , , и . Briefings Bioinform., (2022)NSECDA: Natural Semantic Enhancement for CircRNA-Disease Association Prediction., , , , , и . IEEE J. Biomed. Health Informatics, 26 (10): 5075-5084 (2022)A Novel Graph Representation Learning Model for Drug Repositioning Using Graph Transition Probability Matrix Over Heterogenous Information Networks., , , , , , , и . ICIC (3), том 14088 из Lecture Notes in Computer Science, стр. 180-191. Springer, (2023)