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pro vyhledávání: '"Thi Ngan Dong"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-18 (2022)
Abstract Micro RNA or miRNA is a highly conserved class of non-coding RNA that plays an important role in many diseases. Identifying miRNA-disease associations can pave the way for better clinical diagnosis and finding potential drug targets. We prop
Externí odkaz:
https://doaj.org/article/5a7cb36ecda6402a8ee014042b778407
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-24 (2021)
Abstract Background Viral infections are causing significant morbidity and mortality worldwide. Understanding the interaction patterns between a particular virus and human proteins plays a crucial role in unveiling the underlying mechanism of viral i
Externí odkaz:
https://doaj.org/article/7f0946352b384d449aa7911036baabb1
MuCoMiD: A Multitask graph Convolutional Learning Framework for miRNA-Disease Association Prediction
Publikováno v:
IEEE-ACM Transactions on Computational Biology and Bioinformatics, 19(6)
Growing evidence from recent studies implies that microRNAs or miRNAs could serve as biomarkers in various complex human diseases. Since wet-lab experiments for detecting miRNAs associated with a disease are expensive and time-consuming, machine lear
Publikováno v:
BMC bioinformatics 22 (2021)
BMC bioinformatics
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-24 (2021)
BMC bioinformatics
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-24 (2021)
BackgroundViral infections are causing significant morbidity and mortality worldwide. Understanding the interaction patterns between a particular virus and human proteins plays a crucial role in unveiling the underlying mechanism of viral infection a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e9d6a3bb70555f212ce4bd80f732ce0
https://www.repo.uni-hannover.de/handle/123456789/12310
https://www.repo.uni-hannover.de/handle/123456789/12310
Autor:
Megha Khosla, Thi Ngan Dong
Publikováno v:
BIBM
MicroRNA or miRNA is a class of non-coding RNA with a length of approximately 22 nucleotides that is involved in the regulation of gene expression. miRNA is becoming one of the promising drug targets in recent years. Identifying potential association
Autor:
Thi Ngan Dong, Megha Khosla
MotivationA variety of machine learning based approaches have been applied to predicting miRNA-disease association. Although promising, the evaluation set up to measure prediction performance is inconsistent making it difficult to assess the actual p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f12d0f5df7f06bb5474ca13bb92892c