Liu J - Search Results

1

Identification of Potential Biomarkers for Thyroid Cancer Using Bioinformatics Strategy: A Study Based on GEO Datasets.

Shen Y, Dong S, Liu J, Zhang L, Zhang J, Zhou H, Dong W. Shen Y, et al. Among authors: liu j. Biomed Res Int. 2020 Apr 1;2020:9710421. doi: 10.1155/2020/9710421. eCollection 2020. Biomed Res Int. 2020. PMID: 32337286 Free PMC article.

2

Identification of EPHX2 and RMI2 as two novel key genes in cervical squamous cell carcinoma by an integrated bioinformatic analysis.

Liu J, Nie S, Gao M, Jiang Y, Wan Y, Ma X, Zhou S, Cheng W. Liu J, et al. J Cell Physiol. 2019 Nov;234(11):21260-21273. doi: 10.1002/jcp.28731. Epub 2019 Apr 30. J Cell Physiol. 2019. PMID: 31041817

3

Competing endogenous RNA network of endometrial carcinoma: A comprehensive analysis.

Liu J, Nie S, Liang J, Jiang Y, Wan Y, Zhou S, Cheng W. Liu J, et al. J Cell Biochem. 2019 Sep;120(9):15648-15660. doi: 10.1002/jcb.28831. Epub 2019 May 5. J Cell Biochem. 2019. PMID: 31056798

4

Identification of Potential Biomarkers and Survival Analysis for Head and Neck Squamous Cell Carcinoma Using Bioinformatics Strategy: A Study Based on TCGA and GEO Datasets.

Shen Y, Liu J, Zhang L, Dong S, Zhang J, Liu Y, Zhou H, Dong W. Shen Y, et al. Among authors: liu j, liu y. Biomed Res Int. 2019 Aug 7;2019:7376034. doi: 10.1155/2019/7376034. eCollection 2019. Biomed Res Int. 2019. PMID: 31485443 Free PMC article.

5

Identification of Potential Biomarkers in Association With Progression and Prognosis in Epithelial Ovarian Cancer by Integrated Bioinformatics Analysis.

Liu J, Meng H, Li S, Shen Y, Wang H, Shan W, Qiu J, Zhang J, Cheng W. Liu J, et al. Front Genet. 2019 Oct 24;10:1031. doi: 10.3389/fgene.2019.01031. eCollection 2019. Front Genet. 2019. PMID: 31708970 Free PMC article.

6

Co-expression network analysis identified atypical chemokine receptor 1 (ACKR1) association with lymph node metastasis and prognosis in cervical cancer.

Liu J, Li S, Lin L, Jiang Y, Wan Y, Zhou S, Cheng W. Liu J, et al. Cancer Biomark. 2020;27(2):213-223. doi: 10.3233/CBM-190533. Cancer Biomark. 2020. PMID: 32083574

7

Identification of molecular markers associated with the progression and prognosis of endometrial cancer: a bioinformatic study.

Liu J, Feng M, Li S, Nie S, Wang H, Wu S, Qiu J, Zhang J, Cheng W. Liu J, et al. Cancer Cell Int. 2020 Feb 19;20:59. doi: 10.1186/s12935-020-1140-3. eCollection 2020. Cancer Cell Int. 2020. PMID: 32099532 Free PMC article.

8

Identification of aberrantly methylated differentially expressed genes and associated pathways in endometrial cancer using integrated bioinformatic analysis.

Liu J, Wan Y, Li S, Qiu H, Jiang Y, Ma X, Zhou S, Cheng W. Liu J, et al. Cancer Med. 2020 May;9(10):3522-3536. doi: 10.1002/cam4.2956. Epub 2020 Mar 14. Cancer Med. 2020. PMID: 32170852 Free PMC article.

9

Identification of Key Genes in Association with Progression and Prognosis in Cervical Squamous Cell Carcinoma.

Meng H, Liu J, Qiu J, Nie S, Jiang Y, Wan Y, Cheng W. Meng H, et al. Among authors: liu j. DNA Cell Biol. 2020 May;39(5):848-863. doi: 10.1089/dna.2019.5202. Epub 2020 Mar 23. DNA Cell Biol. 2020. PMID: 32202912

10

Identification of crucial aberrantly methylated and differentially expressed genes related to cervical cancer using an integrated bioinformatics analysis.

Ma X, Liu J, Wang H, Jiang Y, Wan Y, Xia Y, Cheng W. Ma X, et al. Among authors: liu j. Biosci Rep. 2020 May 29;40(5):BSR20194365. doi: 10.1042/BSR20194365. Biosci Rep. 2020. PMID: 32368784 Free PMC article.

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