Zobrazeno 1 - 10
of 63
pro vyhledávání: '"Jiawei Luo"'
Publikováno v:
Neurocomputing. 510:218-232
Publikováno v:
Information Sciences. 640:119038
Autor:
Jiawei Luo, Hui Yang
Publikováno v:
Neural Processing Letters. 54:2201-2217
Publikováno v:
Methods (San Diego, Calif.)
Coronavirus Disease-19 (COVID-19) has lead global epidemics with high morbidity and mortality. However, there are currently no proven effective drugs targeting COVID-19. Identifying drug-virus associations can not only provide insights into the under
Publikováno v:
IEEE/ACM Transactions on Computational Biology and Bioinformatics. 18:1562-1571
Combinatorial drug therapy is a promising way for treating cancers, which can reduce drug side effects and improve drug efficacy. However, due to the large-scale combinatorial space, it is difficult to quickly and effectively identify novel synergist
Publikováno v:
Interdisciplinary Sciences: Computational Life Sciences. 13:547-558
Predicting the interactions between microRNAs (miRNAs) and target genes is of great significance for understanding the regulatory mechanism of miRNA and treating complex diseases. The emergence of large-scale, heterogeneous biological networks has of
Publikováno v:
Pattern Recognition. 137:109277
Autor:
Jiawei Luo, Yahui Long
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:266-275
Accurately identifying microbe-drug associations plays a critical role in drug development and precision medicine. Considering that the conventional wet-lab method is time-consuming, labor-intensive and expensive, computational approach is an alterna
Data Augmentation for Sentiment Analysis Using Sentence Compression-Based SeqGAN With Data Screening
Publikováno v:
IEEE Access, Vol 9, Pp 99922-99931 (2021)
Sentiment analysis refers to the process of automatically identifying the emotions expressed by people. Its accuracy is highly dependent on the amount of training data. However, it takes time and cost for humans to collect a large number of data. Man
Publikováno v:
Bioinformatics. 36:i779-i786
Motivation Human microbes get closely involved in an extensive variety of complex human diseases and become new drug targets. In silico methods for identifying potential microbe–drug associations provide an effective complement to conventional expe