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MeSHHeading2vec: A new method for representing MeSH headings as feature vectors based on graph embedding algorithm
[article]
2019
bioRxiv
pre-print
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Then, five graph em-bedding algorithms including DeepWalk (DW), LINE, SDNE, LAP and HOPE were implemented on the relationship network to represent MeSH headings as vectors. ...
Results: In this paper, we converted the MeSH tree structure into a relationship network and applied several graph embedding algorithms on it to represent these terms. ...
Acknowledgements We thank anonymous reviewers for very valuable suggestions.
Funding This research was funded by the National Natural Science Foundation of China, grant number 61772333, 61902342. ...
doi:10.1101/835637
fatcat:w6wgdb4brjaspme3gv6vmfkhta
MeSHHeading2vec: a new method for representing MeSH headings as vectors based on graph embedding algorithm
2020
Briefings in Bioinformatics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Then, five graph embedding algorithms including DeepWalk, LINE, SDNE, LAP and HOPE were implemented on the relationship network to represent MeSH headings as vectors. ...
In this paper, we converted the MeSH tree structure into a relationship network and applied several graph embedding algorithms on it to represent these terms. ...
on it to represent the MeSH headings as vectors. ...
doi:10.1093/bib/bbaa037
pmid:32232320
pmcid:PMC7986599
fatcat:ni5bdg6hmbfohj6nzsgvm2vsie
SMMDA: Predicting miRNA-Disease Associations by Incorporating Multiple Similarity Profiles and a Novel Disease Representation
2022
Biology
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A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
In particular, SMMDA first utilized a new disease representation method (MeSHHeading2vec) based on the network embedding algorithm and then fused it with Gaussian interaction profile kernel similarity ...
Finally, the ensemble learning model, XGBoost, was used as the underlying training and prediction method for SMMDA. ...
Acknowledgments: The authors would like to thank all anonymous reviewers for their constructive advice.
Conflicts of Interest: The authors declare that they have no competing interests. ...
doi:10.3390/biology11050777
pmid:35625505
pmcid:PMC9138858
fatcat:xbvfca2lunfvddgkb3j6keqwz4