Efficient prediction of drug–drug interaction using deep learning models
P Kumar Shukla, P Kumar Shukla, P Sharma… - IET Systems …, 2020 - Wiley Online Library
A drug–drug interaction or drug synergy is extensively utilised for cancer treatment.
However, prediction of drug–drug interaction is defined as an ill‐posed problem, because …
However, prediction of drug–drug interaction is defined as an ill‐posed problem, because …
Cucurbitacin E inhibits Huh7 hepatoma carcinoma cell proliferation and metastasis via suppressing MAPKs and JAK/STAT3 pathways
Y Liu, H Yang, Q Guo, T Liu, Y Jiang, M Zhao, K Zeng… - Molecules, 2020 - mdpi.com
Cucurbitacin E (CuE), a highly oxygenated tetracyclic triterpene from Cucurbitaceae, has
shown to exhibit potent cytotoxic and anti-proliferative properties against several human …
shown to exhibit potent cytotoxic and anti-proliferative properties against several human …
Construction of a pearson-and MIC-based co-expression network to identify potential cancer genes
D Cao, N Xu, Y Chen, H Zhang, Y Li, Z Yuan - Interdisciplinary Sciences …, 2022 - Springer
The weighted gene co-expression network analysis (WGCNA) method constructs co-
expressed gene modules based on the linear similarity between paired gene expressions …
expressed gene modules based on the linear similarity between paired gene expressions …
Identification of 40S ribosomal protein S8 as a novel biomarker for alcohol‑associated hepatocellular carcinoma using weighted gene co‑expression network analysis
N Bi, Y Sun, S Lei, Z Zeng, Y Zhang… - Oncology …, 2020 - spandidos-publications.com
Alcohol‑associated hepatocellular carcinoma (HCC) is a subtype of HCC with poor
prognosis. The present study aimed to identify key biomarkers for alcohol‑associated HCC …
prognosis. The present study aimed to identify key biomarkers for alcohol‑associated HCC …
Efficient Prediction Adverse Drug-Drug Interactions with Deep Neural Networks
R Ahmed, A Darwish, AE Hassanien - Artificial Intelligence for …, 2024 - Springer
These days, combining many medications is the best course of treatment to slow the
pathologic process, which includes a number of underlying negative effects brought on by …
pathologic process, which includes a number of underlying negative effects brought on by …
Edge Computing Based Real-Time Streaming Data Mining Method for Wireless Sensor Networks
Z Huang, X Ren, Z Zhou, H Zhu, Z Lin - International Conference on …, 2021 - Springer
Traditional data mining techniques are difficult to be directly applied to wireless sensor
networks because of the multidimensional and multilayered characteristics of wireless …
networks because of the multidimensional and multilayered characteristics of wireless …
Design of environment art design element mining system based on deep learning
C Peng, N Song, X Zhang, Y Ma, C Luo - Tobacco Regulatory Science …, 2021 - tobreg.org
Combined with the development requirements of current environmental art mining system,
the design method of environmental art design element mining system based on deep …
the design method of environmental art design element mining system based on deep …