HergSPred: Accurate Classification of hERG Blockers/Nonblockers with Machine-Learning Models
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c00256
Abstract: The human ether-à-go-go-related gene (hERG) K+ channel plays an important role in cardiac action potentials. The inhibition of the hERG channel may lead to long QT syndrome (LQTS) and even sudden cardiac death. Due to… read more here.
Keywords: hergspred accurate; classification; accurate classification; classification herg ... See more keywords
A Brute-Force CNN Model Selection for Accurate Classification of Sensorimotor Rhythms in BCIs
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997681
Abstract: The ultimate goal of Brain-Computer Interface (BCI) research is to enable individuals to interact with their environment by translating their mental imagery. In this regard, a salient issue is the identification of brain activity patterns… read more here.
Keywords: brute force; accurate classification; model selection; classification ... See more keywords