Zhang X - Search Results

1

Negative binomial mixed models for analyzing microbiome count data.

Zhang X, Mallick H, Tang Z, Zhang L, Cui X, Benson AK, Yi N. Zhang X, et al. Among authors: zhang l. BMC Bioinformatics. 2017 Jan 3;18(1):4. doi: 10.1186/s12859-016-1441-7. BMC Bioinformatics. 2017. PMID: 28049409 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: zhang x. 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

Pathway-Structured Predictive Model for Cancer Survival Prediction: A Two-Stage Approach.

Zhang X, Li Y, Akinyemiju T, Ojesina AI, Buckhaults P, Liu N, Xu B, Yi N. Zhang X, et al. Genetics. 2017 Jan;205(1):89-100. doi: 10.1534/genetics.116.189191. Epub 2016 Nov 9. Genetics. 2017. PMID: 28049703 Free PMC article.

4

Development of a radiosensitivity gene signature for patients with soft tissue sarcoma.

Tang Z, Zeng Q, Li Y, Zhang X, Ma J, Suto MJ, Xu B, Yi N. Tang Z, et al. Among authors: zhang x. Oncotarget. 2017 Apr 18;8(16):27428-27439. doi: 10.18632/oncotarget.16194. Oncotarget. 2017. PMID: 28404969 Free PMC article.

5

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: zhang x. Bioinformatics. 2017 Sep 15;33(18):2799-2807. doi: 10.1093/bioinformatics/btx300. Bioinformatics. 2017. PMID: 28472220 Free PMC article.

6

Predicting radiotherapy response for patients with soft tissue sarcoma by developing a molecular signature.

Tang Z, Zeng Q, Li Y, Zhang X, Suto MJ, Xu B, Yi N. Tang Z, et al. Among authors: zhang x. Oncol Rep. 2017 Nov;38(5):2814-2824. doi: 10.3892/or.2017.5999. Epub 2017 Sep 25. Oncol Rep. 2017. PMID: 29048650 Free PMC article.

7

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: zhang x. Bioinformatics. 2018 Mar 15;34(6):901-910. doi: 10.1093/bioinformatics/btx684. Bioinformatics. 2018. PMID: 29077795 Free PMC article.

8

Predicting multi-level drug response with gene expression profile in multiple myeloma using hierarchical ordinal regression.

Zhang X, Li B, Han H, Song S, Xu H, Hong Y, Yi N, Zhuang W. Zhang X, et al. BMC Cancer. 2018 May 10;18(1):551. doi: 10.1186/s12885-018-4483-6. BMC Cancer. 2018. PMID: 29747599 Free PMC article.

9

Pathway-structured predictive modeling for multi-level drug response in multiple myeloma.

Zhang X, Li B, Han H, Song S, Xu H, Yi Z, Hong Y, Zhuang W, Yi N. Zhang X, et al. Bioinformatics. 2018 Nov 1;34(21):3609-3615. doi: 10.1093/bioinformatics/bty436. Bioinformatics. 2018. PMID: 29850860 Free PMC article.

10

Negative Binomial Mixed Models for Analyzing Longitudinal Microbiome Data.

Zhang X, Pei YF, Zhang L, Guo B, Pendegraft AH, Zhuang W, Yi N. Zhang X, et al. Among authors: zhang l. Front Microbiol. 2018 Jul 26;9:1683. doi: 10.3389/fmicb.2018.01683. eCollection 2018. Front Microbiol. 2018. PMID: 30093893 Free PMC article.

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