Zhao J - Search Results

1

Bioinformatics tools for quantitative and functional metagenome and metatranscriptome data analysis in microbes.

Niu SY, Yang J, McDermaid A, Zhao J, Kang Y, Ma Q. Niu SY, et al. Among authors: zhao j. Brief Bioinform. 2018 Mar 1;19(2):360. doi: 10.1093/bib/bby012. Brief Bioinform. 2018. PMID: 29481588 No abstract available.

2

Bioinformatics tools for quantitative and functional metagenome and metatranscriptome data analysis in microbes.

Niu SY, Yang J, McDermaid A, Zhao J, Kang Y, Ma Q. Niu SY, et al. Among authors: zhao j. Brief Bioinform. 2018 Nov 27;19(6):1415-1429. doi: 10.1093/bib/bbx051. Brief Bioinform. 2018. PMID: 28481971 Review.

3

Interpretation of differential gene expression results of RNA-seq data: review and integration.

McDermaid A, Monier B, Zhao J, Liu B, Ma Q. McDermaid A, et al. Among authors: zhao j. Brief Bioinform. 2019 Nov 27;20(6):2044-2054. doi: 10.1093/bib/bby067. Brief Bioinform. 2019. PMID: 30099484 Free PMC article. Review.

4

Assessing deep learning methods in cis-regulatory motif finding based on genomic sequencing data.

Zhang S, Ma A, Zhao J, Xu D, Ma Q, Wang Y. Zhang S, et al. Among authors: zhao j. Brief Bioinform. 2022 Jan 17;23(1):bbab374. doi: 10.1093/bib/bbab374. Brief Bioinform. 2022. PMID: 34607350 Free PMC article.

5

It is time to apply biclustering: a comprehensive review of biclustering applications in biological and biomedical data.

Xie J, Ma A, Fennell A, Ma Q, Zhao J. Xie J, et al. Among authors: zhao j. Brief Bioinform. 2019 Jul 19;20(4):1449-1464. doi: 10.1093/bib/bby014. Brief Bioinform. 2019. PMID: 29490019 Free PMC article. Review.

6

IRIS-EDA: An integrated RNA-Seq interpretation system for gene expression data analysis.

Monier B, McDermaid A, Wang C, Zhao J, Miller A, Fennell A, Ma Q. Monier B, et al. Among authors: zhao j. PLoS Comput Biol. 2019 Feb 14;15(2):e1006792. doi: 10.1371/journal.pcbi.1006792. eCollection 2019 Feb. PLoS Comput Biol. 2019. PMID: 30763315 Free PMC article.

7

Predicting outcomes of chronic kidney disease from EMR data based on Random Forest Regression.

Zhao J, Gu S, McDermaid A. Zhao J, et al. Math Biosci. 2019 Apr;310:24-30. doi: 10.1016/j.mbs.2019.02.001. Epub 2019 Feb 12. Math Biosci. 2019. PMID: 30768948 Free PMC article.

8

Using Machine Learning to Measure Relatedness Between Genes: A Multi-Features Model.

Wang Y, Yang S, Zhao J, Du W, Liang Y, Wang C, Zhou F, Tian Y, Ma Q. Wang Y, et al. Among authors: zhao j. Sci Rep. 2019 Mar 12;9(1):4192. doi: 10.1038/s41598-019-40780-7. Sci Rep. 2019. PMID: 30862804 Free PMC article.

9

A phylogenetic model for understanding the effect of gene duplication on cancer progression.

Ma Q, Reeves JH, Liberles DA, Yu L, Chang Z, Zhao J, Cui J, Xu Y, Liu L. Ma Q, et al. Among authors: zhao j. Nucleic Acids Res. 2014 Mar;42(5):2870-8. doi: 10.1093/nar/gkt1320. Epub 2013 Dec 25. Nucleic Acids Res. 2014. PMID: 24371277 Free PMC article.

10

Utility of machine learning in developing a predictive model for early-age-onset colorectal neoplasia using electronic health records.

Hussan H, Zhao J, Badu-Tawiah AK, Stanich P, Tabung F, Gray D, Ma Q, Kalady M, Clinton SK. Hussan H, et al. Among authors: zhao j. PLoS One. 2022 Mar 10;17(3):e0265209. doi: 10.1371/journal.pone.0265209. eCollection 2022. PLoS One. 2022. PMID: 35271664 Free PMC article.

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