Yi N - Search Results

1

Incorporating spatial structure into inclusion probabilities for Bayesian variable selection in generalized linear models with the spike-and-slab elastic net.

Leach JM, Aban I, Yi N; Alzheimer’s Disease Neuroimaging Initiative. Leach JM, et al. Among authors: yi n. J Stat Plan Inference. 2022 Mar;217:141-152. doi: 10.1016/j.jspi.2021.07.010. Epub 2021 Jul 29. J Stat Plan Inference. 2022. PMID: 36911105 Free PMC article.

2

The Spike-and-Slab Lasso Generalized Linear Models for Prediction and Associated Genes Detection.

Tang Z, Shen Y, Zhang X, Yi N. Tang Z, et al. Among authors: yi n. Genetics. 2017 Jan;205(1):77-88. doi: 10.1534/genetics.116.192195. Epub 2016 Oct 31. Genetics. 2017. PMID: 27799277 Free PMC article.

3

Group spike-and-slab lasso generalized linear models for disease prediction and associated genes detection by incorporating pathway information.

Tang Z, Shen Y, Li Y, Zhang X, Wen J, Qian C, Zhuang W, Shi X, Yi N. Tang Z, et al. Among authors: yi n. Bioinformatics. 2018 Mar 15;34(6):901-910. doi: 10.1093/bioinformatics/btx684. Bioinformatics. 2018. PMID: 29077795 Free PMC article.

4

The spike-and-slab elastic net as a classification tool in Alzheimer's disease.

Leach JM, Edwards LJ, Kana R, Visscher K, Yi N, Aban I; Alzheimer’s Disease Neuroimaging Initiative. Leach JM, et al. Among authors: yi n. PLoS One. 2022 Feb 3;17(2):e0262367. doi: 10.1371/journal.pone.0262367. eCollection 2022. PLoS One. 2022. PMID: 35113902 Free PMC article.

5

The spike-and-slab lasso and scalable algorithm to accommodate multinomial outcomes in variable selection problems.

Leach JM, Yi N, Aban I, The Alzheimer's Disease Neuroimaging Initiative. Leach JM, et al. Among authors: yi n. J Appl Stat. 2023 Sep 14;51(11):2039-2061. doi: 10.1080/02664763.2023.2258301. eCollection 2024. J Appl Stat. 2023. PMID: 39157266 Free PMC article.

6

Hierarchical generalized linear models for multiple quantitative trait locus mapping.

Yi N, Banerjee S. Yi N, et al. Genetics. 2009 Mar;181(3):1101-13. doi: 10.1534/genetics.108.099556. Epub 2009 Jan 12. Genetics. 2009. PMID: 19139143 Free PMC article.

7

Hierarchical shrinkage priors and model fitting for high-dimensional generalized linear models.

Yi N, Ma S. Yi N, et al. Stat Appl Genet Mol Biol. 2012 Nov 26;11(6):10.1515/1544-6115.1803 /j/sagmb.2012.11.issue-6/1544-6115.1803/1544-6115.1803.xml. doi: 10.1515/1544-6115.1803. Stat Appl Genet Mol Biol. 2012. PMID: 23192052 Free PMC article.

8

Bayesian Methods for High Dimensional Linear Models.

Mallick H, Yi N. Mallick H, et al. Among authors: yi n. J Biom Biostat. 2013 Jun 1;1:005. doi: 10.4172/2155-6180.S1-005. J Biom Biostat. 2013. PMID: 24511433 Free PMC article.

9

A New Bayesian Lasso.

Mallick H, Yi N. Mallick H, et al. Among authors: yi n. Stat Interface. 2014;7(4):571-582. doi: 10.4310/SII.2014.v7.n4.a12. Stat Interface. 2014. PMID: 27570577 Free PMC article.

10

The spike-and-slab lasso Cox model for survival prediction and associated genes detection.

Tang Z, Shen Y, Zhang X, Yi N. Tang Z, et al. Among authors: yi n. Bioinformatics. 2017 Sep 15;33(18):2799-2807. doi: 10.1093/bioinformatics/btx300. Bioinformatics. 2017. PMID: 28472220 Free PMC article.

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