Back
Top 0.5%
23.7%
#1
23.7%
Top 1%
9.6%
Top 34%
6.9%
Top 3%
4.5%
Top 1%
3.0%
Top 4%
2.1%
Top 0.4%
2.1%
Top 2%
2.1%
Top 3%
2.1%
Top 5%
2.1%
Top 4%
1.4%
Top 5%
1.3%
Top 37%
1.3%
Top 6%
1.0%
Top 5%
1.0%
Top 13%
0.8%
Top 4%
0.8%
Top 16%
0.8%
Top 8%
0.5%
Policy gradient-guided ensemble learning for enhanced polygenic risk prediction in ultra-high-dimensional genomics
2025-09-25
genetic and genomic medicine
Title + abstract only
View on medRxiv
Show abstract
Polygenic diseases challenge genetic risk prediction due to extreme dimensionality, low per-variant effect sizes, and non-additive interactions. Conventional marginal P-value-based methods potentially overlook subtle signals and complex dependencies, while inefficient random sampling in ensembles misses sparse signals. We introduce ELAG, an ensemble learning framework that advances feature bagging by reformulating variant selection as an approximate reinforcement learning problem. Leveraging pol...
Predicted journal destinations
1
Nature Communications
483 training papers
2
Nature Genetics
72 training papers
3
The American Journal of Human Genetics
77 training papers
4
Scientific Reports
701 training papers
5
Genome Medicine
56 training papers
6
Cell Genomics
34 training papers
7
Proceedings of the National Academy of Sciences
100 training papers
8
Bioinformatics
24 training papers
9
PLOS Genetics
39 training papers
10
Human Genetics and Genomics Advances
39 training papers
11
Genetics in Medicine
57 training papers
12
Nature
58 training papers
13
Human Molecular Genetics
28 training papers
14
eLife
262 training papers
15
Frontiers in Genetics
32 training papers
16
European Journal of Human Genetics
25 training papers
17
PLOS Computational Biology
141 training papers
18
Communications Biology
36 training papers
19
Nature Medicine
88 training papers
20
Science Advances
52 training papers