Zhang Y - Search Results

1

Relationship between serum CA19-9 and CEA levels and prognosis of pancreatic cancer.

Wu L, Huang P, Wang F, Li D, Xie E, Zhang Y, Pan S. Wu L, et al. Among authors: zhang y. Ann Transl Med. 2015 Dec;3(21):328. doi: 10.3978/j.issn.2305-5839.2015.11.17. Ann Transl Med. 2015. PMID: 26734638 Free PMC article.

2

In Silico Screening of Circulating MicroRNAs as Potential Biomarkers for the Diagnosis of Ovarian Cancer.

Wu L, Shang W, Zhao H, Rong G, Zhang Y, Xu T, Zhang J, Huang P, Wang F. Wu L, et al. Among authors: zhang j, zhang y. Dis Markers. 2019 Aug 4;2019:7541857. doi: 10.1155/2019/7541857. eCollection 2019. Dis Markers. 2019. PMID: 31467618 Free PMC article.

3

The identification of age-associated cancer markers by an integrative analysis of dynamic DNA methylation changes.

Wang Y, Zhang J, Xiao X, Liu H, Wang F, Li S, Wen Y, Wei Y, Su J, Zhang Y, Zhang Y. Wang Y, et al. Among authors: zhang j, zhang y. Sci Rep. 2016 Mar 7;6:22722. doi: 10.1038/srep22722. Sci Rep. 2016. PMID: 26949191 Free PMC article.

4

DNA Methylation Patterns Can Estimate Nonequivalent Outcomes of Breast Cancer with the Same Receptor Subtypes.

Zhang M, Zhang S, Wen Y, Wang Y, Wei Y, Liu H, Zhang D, Su J, Wang F, Zhang Y. Zhang M, et al. Among authors: zhang s, zhang d, zhang y. PLoS One. 2015 Nov 9;10(11):e0142279. doi: 10.1371/journal.pone.0142279. eCollection 2015. PLoS One. 2015. PMID: 26550991 Free PMC article.

5

CellMethy: Identification of a focal concordantly methylated pattern of CpGs revealed wide differences between normal and cancer tissues.

Wang F, Zhang S, Liu H, Wei Y, Wang Y, Han X, Su J, Zhang D, Xie B, Zhang Y. Wang F, et al. Among authors: zhang s, zhang d, zhang y. Sci Rep. 2015 Dec 10;5:18037. doi: 10.1038/srep18037. Sci Rep. 2015. PMID: 26659027 Free PMC article.

6

Observer-Based Fixed-Time Neural Control for a Class of Nonlinear Systems.

Zhang Y, Wang F. Zhang Y, et al. IEEE Trans Neural Netw Learn Syst. 2022 Jul;33(7):2892-2902. doi: 10.1109/TNNLS.2020.3046865. Epub 2022 Jul 6. IEEE Trans Neural Netw Learn Syst. 2022. PMID: 33531304

7

Systematic identification and annotation of human methylation marks based on bisulfite sequencing methylomes reveals distinct roles of cell type-specific hypomethylation in the regulation of cell identity genes.

Liu H, Liu X, Zhang S, Lv J, Li S, Shang S, Jia S, Wei Y, Wang F, Su J, Wu Q, Zhang Y. Liu H, et al. Among authors: zhang s, zhang y. Nucleic Acids Res. 2016 Jan 8;44(1):75-94. doi: 10.1093/nar/gkv1332. Epub 2015 Dec 3. Nucleic Acids Res. 2016. PMID: 26635396 Free PMC article.

8

The identification of specific methylation patterns across different cancers.

Zhang C, Zhao H, Li J, Liu H, Wang F, Wei Y, Su J, Zhang D, Liu T, Zhang Y. Zhang C, et al. Among authors: zhang d, zhang y. PLoS One. 2015 Mar 16;10(3):e0120361. doi: 10.1371/journal.pone.0120361. eCollection 2015. PLoS One. 2015. PMID: 25774687 Free PMC article.

9

Chromatin modifications and genomic contexts linked to dynamic DNA methylation patterns across human cell types.

Yan H, Zhang D, Liu H, Wei Y, Lv J, Wang F, Zhang C, Wu Q, Su J, Zhang Y. Yan H, et al. Among authors: zhang c, zhang d, zhang y. Sci Rep. 2015 Feb 12;5:8410. doi: 10.1038/srep08410. Sci Rep. 2015. PMID: 25673498 Free PMC article.

10

Cell subpopulation deconvolution reveals breast cancer heterogeneity based on DNA methylation signature.

Wen Y, Wei Y, Zhang S, Li S, Liu H, Wang F, Zhao Y, Zhang D, Zhang Y. Wen Y, et al. Among authors: zhang s, zhang d, zhang y. Brief Bioinform. 2017 May 1;18(3):426-440. doi: 10.1093/bib/bbw028. Brief Bioinform. 2017. PMID: 27016391

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