Deep generative neural network for accurate drug response imputation
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-21997-5
Abstract: Drug response differs substantially in cancer patients due to inter- and intra-tumor heterogeneity. Particularly, transcriptome context, especially tumor microenvironment, has been shown playing a significant role in shaping the actual treatment outcome. In this study,… read more here.
Keywords: generative neural; drug response; drug; neural network ... See more keywords
Generative Neural Networks for Addressing the Bioequivalence of Highly Variable Drugs
Sign Up to like & getrecommendations! Published in 2025 at "Algorithms"
DOI: 10.3390/a18050266
Abstract: Bioequivalence assessment of highly variable drugs (HVDs) remains a significant challenge, as the application of scaled approaches requires replicate designs, complex statistical analyses, and varies between regulatory authorities (e.g., FDA and EMA). This study introduces… read more here.
Keywords: highly variable; generative neural; variable drugs; bioequivalence ... See more keywords
The Partial Information Decomposition of Generative Neural Network Models
Sign Up to like & getrecommendations! Published in 2017 at "Entropy"
DOI: 10.3390/e19090474
Abstract: In this work we study the distributed representations learnt by generative neural network models. In particular, we investigate the properties of redundant and synergistic information that groups of hidden neurons contain about the target variable.… read more here.
Keywords: information; generative neural; network models; partial information ... See more keywords