Accès ouvert
2026
article
OpenAlex
Jie Hu, R. Chen, Maxwell Salvatore, Olivia Wu et autres
Polygenic risk scores are widely used for predicting genetic risk across complex diseases and traits, and several pre-trained models have been developed. Few approaches leverage these pre-trained polygenic risk scores to further refine predictive performance. Here, we present Adaptive Boosting of pre-trained …
us
(code pays fourni par la source)
Accès ouvert
2026
software
OpenAlex
Ruowang Li, Hu Jie, R. Chen, Olivia Wu et autres
Polygenic risk scores (PRSs) are widely used for predicting genetic risk across complex diseases and traits, with thousands of pre-trained models constructed using diverse methodologies and data sources. Despite their widespread utility, limited approaches leverage these pre-trained PRS to further refine their …
Accès ouvert
2026
software
OpenAlex
Ruowang Li, Hu Jie, R. Chen, Olivia Wu et autres
Polygenic risk scores (PRSs) are widely used for predicting genetic risk across complex diseases and traits, with thousands of pre-trained models constructed using diverse methodologies and data sources. Despite their widespread utility, limited approaches leverage these pre-trained PRS to further refine their …
Accès ouvert
2026
preprint
OpenAlex
Okan B Ozdemir, R. Chen, Olivia Wu, Ruowang Li
Genetic-based risk prediction is becoming increasingly available for a wide range of common diseases thanks to the growth of large-scale biobanks and population-scale genetic studies. However, despite widespread availability, genetic risk prediction typically offers only modest predictive power, as complex biological processes …
us
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Accès ouvert
2026
article
OpenAlex
Okan Bilge Özdemir, R. Chen, Olivia Wu, Ruowang Li
Genome-wide association studies of various heritable human traits and diseases have identified numerous associated single-nucleotide polymorphisms (SNPs), most of which have small or modest effects. Polygenic risk scores aim to better estimate individuals’ genetic predisposition by aggregating the effects of multiple SNPs …
us
(code pays fourni par la source)
Accès ouvert
2026
article
OpenAlex
Xiaotong Yang, Haoming Zhu, Leyang Tao, R. Chen et autres
ABSTRACT Preeclampsia (PE) is a major pregnancy complication associated with long‐term maternal health risks, but how these risks vary by severity, race, and fetal sex is unclear. To identify maternal complications after PE and to evaluate the modifying effects of severity, race, …
us, hk
(code pays fourni par la source)
Accès ouvert
2025
preprint
OpenAlex
R. Chen, Attri Ghosh, Jie Hu, Jason H. Moore et autres
High-dimensional biomedical datasets routinely contain sparse signals embedded among vast, correlated features, making variable selection central to building models that generalize. Although significance-based selection is widely used across modalities (e.g., imaging, EHR, multi-omics), statistical significance does not guarantee predictive utility, and vice …
us
(code pays fourni par la source)
2021
article
OpenAlex
R. Chen, Aidan S. Weitzner, Lara A. McKennon, Laura K. Fonken
us
(code pays fourni par la source)
2005
article
OpenAlex
Anumoy Ghosh, Daniel Wolter, Jeffrey G. Andrews, R. Chen
The IEEE 802.16 family of standards and its associated industry consortium, WiMax, promise to deliver high data rates over large areas to a large number of users in the near future. This exciting addition to current broadband options such as DSL, cable, …
us
(code pays fourni par la source)
1997
article
OpenAlex
R.L.Q. Li, Zhenhai Fu, R. Chen
A 3-bit true-time-delay lines device having a packing density of 5 lincs/cm/sup 2/ with a minimum delay step of /spl sim/100 ps is designed, fabricated and demonstrated. This device is based on substrate guided wave propagation combined with slanted photopolymer volume phase …
us
(code pays fourni par la source)