Heterogeneous graph attention network based on meta-paths for lncrna–disease association prediction

X Zhao, X Zhao, M Yin - Briefings in bioinformatics, 2022 - academic.oup.com
Motivation: Discovering long noncoding RNA (lncRNA)–disease associations is a
fundamental and critical part in understanding disease etiology and pathogenesis. However …
被引用次数：41 相关文章

Heterogeneous graph attention network based on meta-paths for lncRNA-disease association prediction.

X Zhao, M Yin - Briefings in Bioinformatics, 2022 - europepmc.org
Discovering long noncoding RNA (lncRNA)-disease associations is a fundamental and
critical part in understanding disease etiology and pathogenesis. However, only a few …

Heterogeneous graph attention network based on meta-paths for lncRNA–disease association prediction

X Zhao, X Zhao, M Yin - Briefings in Bioinformatics, 2022 - academic.oup.com
Motivation: Discovering long noncoding RNA (lncRNA)–disease associations is a
fundamental and critical part in understanding disease etiology and pathogenesis. However …

Heterogeneous graph attention network based on meta-paths for lncRNA-disease association prediction

X Zhao, X Zhao, M Yin - Briefings in bioinformatics, 2022 - pubmed.ncbi.nlm.nih.gov
Motivation Discovering long noncoding RNA (lncRNA)-disease associations is a
fundamental and critical part in understanding disease etiology and pathogenesis. However …

Heterogeneous graph attention network based on meta-paths for lncRNA–disease association prediction.

X Zhao, X Zhao, M Yin - Briefings in Bioinformatics, 2022 - search.ebscohost.com
Motivation: Discovering long noncoding RNA (lncRNA)–disease associations is a
fundamental and critical part in understanding disease etiology and pathogenesis. However …