Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kaiyin Zhou"'
Autor:
Kaiyin Zhou, YuxingWang, Sheng Zhang, Mina Gachloo, Jin-Dong Kim, Qi Luo, Kevin Bretonnel Cohen, Jingbo Xia
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 3, Pp 1376-1391 (2019)
For discovery of new usage of drugs, the function type of their target genes plays an important role, and the hypothesis of "Antagonist-GOF" and "Agonist-LOF" has laid a solid foundation for supporting drug repurposing. In this research, an active ge
Externí odkaz:
https://doaj.org/article/9153bcc794ef4801b22c5da7002dc5af
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2022.
The table-based fact verification task has recently gained widespread attention and yet remains to be a very challenging problem. It inherently requires informative reasoning over natural language together with different numerical and logical reasoni
Publikováno v:
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).
Publikováno v:
Genomics & Informatics
Currently, coronavirus disease 2019 (COVID-19) literature has been increasing dramatically, and the increased text amount make it possible to perform large scale text mining and knowledge discovery. Therefore, curation of these texts becomes a crucia
Autor:
Jin-Dong Kim, Mina Gachloo, Qi Luo, Kevin Bretonnel Cohen, Jingbo Xia, Yuxing Wang, Sheng Zhang, Kaiyin Zhou
Publikováno v:
Mathematical Biosciences and Engineering. 16:1376-1391
For discovery of new usage of drugs, the function type of their target genes plays an important role, and the hypothesis of "Antagonist-GOF" and "Agonist-LOF" has laid a solid foundation for supporting drug repurposing. In this research, an active ge
Publikováno v:
SemEval@ACL/IJCNLP
This paper describes our system for verifying statements with tables at SemEval-2021 Task 9. We developed a two-stage verifying system based on the latest table-based pre-trained model GraPPa. Multiple networks are devised to verify different types o
Autor:
Xiangyu Meng, Zhixue Shen, Jingbo Xia, Xiaohang Ma, Kevin Bretonnel Cohen, Jin-Dong Kim, Kaiyin Zhou, Yuxing Wang
Publikováno v:
Briefings in bioinformatics. 22(5)
Bridging heterogeneous mutation data fills in the gap between various data categories and propels discovery of disease-related genes. It is known that genome-wide association study (GWAS) infers significant mutation associations that link genotype an
Autor:
Kaiyin Zhou, Yuxing Wang, Kevin Bretonnel Cohen, Jin-Dong Kim, Xiaohang Ma, Zhixue Shen, Xiangyu Meng, Jingbo Xia
Background: Bridging heterogeneous mutation data fills in the gap between various data categories and propels discovery of disease-related genes. It is known that genome-wide association study (GWAS) infers significant mutation associations which lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b33f12ac48c079164169687e328ef167
https://doi.org/10.21203/rs.3.rs-44127/v1
https://doi.org/10.21203/rs.3.rs-44127/v1
Autor:
Kaiyin Zhou, Sheng Zhang, Yuxing Wang, Kevin Bretonnel Cohen, Jin-Dong Kim, Qi Luo, Xinzhi Yao, Xingyu Zhou, Jingbo Xia
Publikováno v:
Journal of Biomedical Informatics. 126:103973
Node embedding of biological entity network has been widely investigated for the downstream application scenarios. To embed full semantics of gene and disease, a multi-relational heterogeneous graph is considered in a scenario where uni-relation betw
Autor:
Kaiyin Zhou, Shanghui Nie, Mina Gachloo, Jin-Dong Kim, Xuan Qin, Jingbo Xia, Yuxin Ren, Yuxing Wang, Panzhong Lu, Kevin Bretonnel Cohen
Publikováno v:
BIBM
After mutation, a gene either gains or loses a function, which is considered to be a critical piece of information for understanding a related pathology and thus for drug discovery. By classifying association of genes and phenotypes using the informa