H Ju, Y Cui, Q Su, L Juan, B Manavalan - Computers in Biology and …, 2024 - Elsevier
Conventional COVID-19 testing methods have some flaws: they are expensive and time- consuming. Chest X-ray (CXR) diagnostic approaches can alleviate these flaws to some …
M KafiKang, A Hendawi - Machine Learning and Knowledge Extraction, 2023 - mdpi.com
In the context of pharmaceuticals, drug-drug interactions (DDIs) occur when two or more drugs interact, potentially altering the intended effects of the drugs and resulting in adverse …
Z Liu, T Bai, B Liu, L Yu - Computers in Biology and Medicine, 2024 - Elsevier
Subcellular localization of mRNA is related to protein synthesis, cell polarity, cell movement and other biological regulation mechanisms. The distribution of mRNAs in subcellulars is …
S Ren, L Chen, H Hao, L Yu - Future Generation Computer Systems, 2024 - Elsevier
Compared with patients with common diseases, cancer patients usually have a more fragile cellular microenvironment and more complex or varied complications. Therefore, to meet …
N Cheng, L Wang, Y Liu, B Song… - Journal of Chemical …, 2024 - ACS Publications
Drug synergy therapy is a promising strategy for cancer treatment. However, the extensive variety of available drugs and the time-intensive process of determining effective drug …
Y Shi, M He, J Chen, F Han, Y Cai - PLOS Computational Biology, 2024 - journals.plos.org
Biomedical texts provide important data for investigating drug-drug interactions (DDIs) in the field of pharmacovigilance. Although researchers have attempted to investigate DDIs from …
G Geng, L Wang, Y Xu, T Wang, W Ma, H Duan… - Methods, 2024 - Elsevier
Drug-drug interaction (DDI) prediction is crucial for identifying interactions within drug combinations, especially adverse effects due to physicochemical incompatibility. While …
T Bai, C Li, X Peng, H Guan, Z Zhang… - … on Bioinformatics and …, 2023 - ieeexplore.ieee.org
Drug-Drug Interaction (DDI) prediction task is helpful for better-understanding drugs. In this paper, we propose a novel drug-drug interaction prediction model based on line subgraph …