Saved in:
| Main Authors: | Peter, Tabitha K., Reisetter, Anna C., Lu, Yujing, Rysavy, Oscar A., Breheny, Patrick J. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.01577 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Penalized mixed models to adjust for batch effects and unobserved confounding in high dimensional regression
by: Lu, Yujing, et al.
Published: (2025)
by: Lu, Yujing, et al.
Published: (2025)
Marginal false discovery rates for penalized regression models
by: Breheny, Patrick
Published: (2016)
by: Breheny, Patrick
Published: (2016)
Cross-Validation in Penalized Linear Mixed Models: Addressing Common Implementation Pitfalls
by: Peter, Tabitha K., et al.
Published: (2025)
by: Peter, Tabitha K., et al.
Published: (2025)
Cross validation approaches for penalized Cox regression
by: Dai, Biyue, et al.
Published: (2019)
by: Dai, Biyue, et al.
Published: (2019)
Feature-specific inference for penalized regression using local false discovery rates
by: Miller, Ryan, et al.
Published: (2018)
by: Miller, Ryan, et al.
Published: (2018)
A near-exact linear mixed model for genome-wide association studies
by: Pu, Zhibin, et al.
Published: (2025)
by: Pu, Zhibin, et al.
Published: (2025)
Calibrar: an R package for fitting complex ecological models
by: Oliveros-Ramos, Ricardo, et al.
Published: (2016)
by: Oliveros-Ramos, Ricardo, et al.
Published: (2016)
The biglasso Package: A Memory- and Computation-Efficient Solver for Lasso Model Fitting with Big Data in R
by: Zeng, Yaohui, et al.
Published: (2017)
by: Zeng, Yaohui, et al.
Published: (2017)
Alternative Likelihood Approximations for High-Dimensional Intervals for Lasso
by: Harris, Logan, et al.
Published: (2025)
by: Harris, Logan, et al.
Published: (2025)
A New Perspective on High Dimensional Confidence Intervals
by: Harris, Logan, et al.
Published: (2025)
by: Harris, Logan, et al.
Published: (2025)
Hybrid safe-strong rules for efficient optimization in lasso-type problems
by: Zeng, Yaohui, et al.
Published: (2017)
by: Zeng, Yaohui, et al.
Published: (2017)
Interpreting artificial neural networks to detect genome-wide association signals for complex traits
by: Yelmen, Burak, et al.
Published: (2024)
by: Yelmen, Burak, et al.
Published: (2024)
DImodelsMulti: An R package for fitting Diversity‐Interactions models to repeated measures or multivariate data
by: Laura Byrne, et al.
Published: (2026)
by: Laura Byrne, et al.
Published: (2026)
Deep mixture of linear mixed models for complex longitudinal data
by: Kock, Lucas, et al.
Published: (2023)
by: Kock, Lucas, et al.
Published: (2023)
GenomicLand: Software for genome-wide association studies and genomic prediction
by: Camila Ferreira Azevedo
Published: (2019)
by: Camila Ferreira Azevedo
Published: (2019)
STbayes : An R package for creating, fitting and understanding Bayesian models of social transmission
by: Michael Chimento, et al.
Published: (2025)
by: Michael Chimento, et al.
Published: (2025)
stelfi: An R package for fitting Hawkes and log‐Gaussian Cox point process models
by: Charlotte M. Jones‐Todd, et al.
Published: (2024)
by: Charlotte M. Jones‐Todd, et al.
Published: (2024)
Healthy Ageing
by: Stephens, Christine, et al.
Published: (2023)
by: Stephens, Christine, et al.
Published: (2023)
Extending the saemix package for R to fit non Gaussian outcomes
by: Comets, Emmanuelle, et al.
Published: (2026)
by: Comets, Emmanuelle, et al.
Published: (2026)
A multivariate to multivariate approach for voxel‐wise genome‐wide association analysis
by: Qiong Wu, et al.
Published: (2024)
by: Qiong Wu, et al.
Published: (2024)
Moonshine.jl: a Julia package for genome-scale model-based ancestral recombination graph inference
by: Fournier, Patrick, et al.
Published: (2025)
by: Fournier, Patrick, et al.
Published: (2025)
A vertex fitting package
by: Bedeschi, Franco
Published: (2024)
by: Bedeschi, Franco
Published: (2024)
Methods for multiancestry genome‐wide association study meta‐analysis
by: Chuan Fu Yap, et al.
Published: (2024)
by: Chuan Fu Yap, et al.
Published: (2024)
A preliminary genome‐wide association study of paroxysmal dyskinesia in the Norwich Terrier
by: Christopher A. Jenkins, et al.
Published: (2024)
by: Christopher A. Jenkins, et al.
Published: (2024)
Dietary questions in caries risk assessment and their relationship to caries
by: Casey Delaney, et al.
Published: (2024)
by: Casey Delaney, et al.
Published: (2024)
The genome-wide DNA methylation data of sheep
by: zhou, 77
Published: (2025)
by: zhou, 77
Published: (2025)
Combining genome‐wide association and genomic prediction to unravel the genetic architecture of carotenoid accumulation in carrot
by: William R. Rolling, et al.
Published: (2025)
by: William R. Rolling, et al.
Published: (2025)
Evaluating three strategies of genome‐wide association analysis for integrating data from multiple populations
by: Zhanming Zhong, et al.
Published: (2024)
by: Zhanming Zhong, et al.
Published: (2024)
A generalized distance covariance framework for genome-wide association studies
by: Edelmann, Dominic, et al.
Published: (2025)
by: Edelmann, Dominic, et al.
Published: (2025)
Phenotypic correlations of carpal gland diverticular number with production traits and its genome‐wide association analysis in multiple pig populations
by: Dengshuai Cui, et al.
Published: (2024)
by: Dengshuai Cui, et al.
Published: (2024)
cosimmr: an R package for fast fitting of Stable Isotope Mixing Models with covariates
by: Govan, Emma, et al.
Published: (2024)
by: Govan, Emma, et al.
Published: (2024)
Integrate Any Omics: Towards genome-wide data integration for patient stratification
by: Ma, Shihao, et al.
Published: (2024)
by: Ma, Shihao, et al.
Published: (2024)
Association mapping of mesocotyl and coleoptile length in rice using various genome‐wide association study models
by: Rui Li, et al.
Published: (2024)
by: Rui Li, et al.
Published: (2024)
Fast fitting of phylogenetic mixed-effects models
by: van der Veen, Bert, et al.
Published: (2024)
by: van der Veen, Bert, et al.
Published: (2024)
lqmix: an R package for longitudinal data analysis via linear quantile mixtures
by: Alfó, Marco, et al.
Published: (2023)
by: Alfó, Marco, et al.
Published: (2023)
Evaluation of the linear mixing model in fluorescence spectroscopy
by: Hoff, Peter, et al.
Published: (2024)
by: Hoff, Peter, et al.
Published: (2024)
Adaptation of an arthropod predator to a challenging environment is associated with a loss of a genome‐wide plastic transcriptional response
by: Sabina A Bajda, et al.
Published: (2024)
by: Sabina A Bajda, et al.
Published: (2024)
Shared genes and pathways in dementia: Insights from genome‐wide association studies
by: Kyle J. Loi, et al.
Published: (2025)
by: Kyle J. Loi, et al.
Published: (2025)
A genome‐wide association meta‐analysis of all‐cause and vascular dementia
Published: (2024)
Published: (2024)
EgoCor: an R package to facilitate the use of exponential semi-variograms for modelling the local spatial correlation structure in social epidemiology
by: Dyck, Julia, et al.
Published: (2023)
by: Dyck, Julia, et al.
Published: (2023)
Similar Items
-
Penalized mixed models to adjust for batch effects and unobserved confounding in high dimensional regression
by: Lu, Yujing, et al.
Published: (2025) -
Marginal false discovery rates for penalized regression models
by: Breheny, Patrick
Published: (2016) -
Cross-Validation in Penalized Linear Mixed Models: Addressing Common Implementation Pitfalls
by: Peter, Tabitha K., et al.
Published: (2025) -
Cross validation approaches for penalized Cox regression
by: Dai, Biyue, et al.
Published: (2019) -
Feature-specific inference for penalized regression using local false discovery rates
by: Miller, Ryan, et al.
Published: (2018)