CNVDeep: deep association of copy number variants with neurocognitive disorders
Z Rahaie, HR Rabiee, H Alinejad-Rokny - BMC bioinformatics, 2024 - Springer
Abstract Background Copy number variants (CNVs) have become increasingly instrumental
in understanding the etiology of all diseases and phenotypes, including Neurocognitive …
in understanding the etiology of all diseases and phenotypes, including Neurocognitive …
Conditional nonparametric variable screening by neural factor regression
High-dimensional covariates often admit linear factor structure. To effectively screen
correlated covariates in high-dimension, we propose a conditional variable screening test …
correlated covariates in high-dimension, we propose a conditional variable screening test …
A generalization bound of deep neural networks for dependent data
Existing generalization bounds for deep neural networks require data to be independent
and identically distributed (iid). This assumption may not hold in real-life applications such …
and identically distributed (iid). This assumption may not hold in real-life applications such …
A Generalization Bound of Deep Neural Networks for Dependent Data
QH Do, BT Nguyen, LST Ho - arXiv preprint arXiv:2310.05892, 2023 - arxiv.org
Existing generalization bounds for deep neural networks require data to be independent
and identically distributed (iid). This assumption may not hold in real-life applications such …
and identically distributed (iid). This assumption may not hold in real-life applications such …