200 related articles for article (PubMed ID: 36608061)
1. Bioinformatics and In silico approaches to identify novel biomarkers and key pathways for cancers that are linked to the progression of female infertility: A comprehensive approach for drug discovery.
Hossain MA; Sohel M; Rahman MH; Hasan MI; Khan MS; Amin MA; Islam MZ; Peng S
PLoS One; 2023; 18(1):e0265746. PubMed ID: 36608061
[TBL] [Abstract][Full Text] [Related]
2. Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.
Yang D; He Y; Wu B; Deng Y; Wang N; Li M; Liu Y
J Ovarian Res; 2020 Jan; 13(1):10. PubMed ID: 31987036
[TBL] [Abstract][Full Text] [Related]
3. Systems biology and
Hossain MA; Al Ashik SA; Mahin MR; Al Amin M; Rahman MH; Khan MA; Emran AA
Heliyon; 2022 Dec; 8(12):e12480. PubMed ID: 36619413
[TBL] [Abstract][Full Text] [Related]
4. Prognostic values and prospective pathway signaling of MicroRNA-182 in ovarian cancer: a study based on gene expression omnibus (GEO) and bioinformatics analysis.
Li Y; Li L
J Ovarian Res; 2019 Nov; 12(1):106. PubMed ID: 31703725
[TBL] [Abstract][Full Text] [Related]
5. In-Silico Evaluation of Genetic Alterations in Ovarian Carcinoma and Therapeutic Efficacy of NSC777201, as a Novel Multi-Target Agent for TTK, NEK2, and CDK1.
Khedkar HN; Wang YC; Yadav VK; Srivastava P; Lawal B; Mokgautsi N; Sumitra MR; Wu ATH; Huang HS
Int J Mol Sci; 2021 May; 22(11):. PubMed ID: 34072728
[TBL] [Abstract][Full Text] [Related]
6. Identification of candidate biomarkers and pathways associated with SCLC by bioinformatics analysis.
Wen P; Chidanguro T; Shi Z; Gu H; Wang N; Wang T; Li Y; Gao J
Mol Med Rep; 2018 Aug; 18(2):1538-1550. PubMed ID: 29845250
[TBL] [Abstract][Full Text] [Related]
7. Identification of Key Genes and Pathways in Myeloma side population cells by Bioinformatics Analysis.
Yang Q; Li K; Li X; Liu J
Int J Med Sci; 2020; 17(14):2063-2076. PubMed ID: 32922167
[No Abstract] [Full Text] [Related]
8. Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis.
Shen J; Yu S; Sun X; Yin M; Fei J; Zhou J
J Ovarian Res; 2019 Nov; 12(1):110. PubMed ID: 31729978
[TBL] [Abstract][Full Text] [Related]
9. Identification of molecular marker associated with ovarian cancer prognosis using bioinformatics analysis and experiments.
Zheng MJ; Li X; Hu YX; Dong H; Gou R; Nie X; Liu Q; Ying-Ying H; Liu JJ; Lin B
J Cell Physiol; 2019 Jul; 234(7):11023-11036. PubMed ID: 30633343
[TBL] [Abstract][Full Text] [Related]
10. Construction of a novel prognostic-predicting model correlated to ovarian cancer.
Tang W; Li J; Chang X; Jia L; Tang Q; Wang Y; Zheng Y; Sun L; Feng Z
Biosci Rep; 2020 Aug; 40(8):. PubMed ID: 32716025
[TBL] [Abstract][Full Text] [Related]
11. A Network-Based Bioinformatics Approach to Identify Molecular Biomarkers for Type 2 Diabetes that Are Linked to the Progression of Neurological Diseases.
Rahman MH; Peng S; Hu X; Chen C; Rahman MR; Uddin S; Quinn JMW; Moni MA
Int J Environ Res Public Health; 2020 Feb; 17(3):. PubMed ID: 32041280
[TBL] [Abstract][Full Text] [Related]
12. Identification of Key Genes and Pathways in Tongue Squamous Cell Carcinoma Using Bioinformatics Analysis.
Zhang H; Liu J; Fu X; Yang A
Med Sci Monit; 2017 Dec; 23():5924-5932. PubMed ID: 29240723
[TBL] [Abstract][Full Text] [Related]
13. An Integrated Systems Biology and Network-Based Approaches to Identify Novel Biomarkers in Breast Cancer Cell Lines Using Gene Expression Data.
Khan A; Rehman Z; Hashmi HF; Khan AA; Junaid M; Sayaf AM; Ali SS; Hassan FU; Heng W; Wei DQ
Interdiscip Sci; 2020 Jun; 12(2):155-168. PubMed ID: 32056139
[TBL] [Abstract][Full Text] [Related]
14. Identification of Differentially Expressed Genes (DEGs) Relevant to Prognosis of Ovarian Cancer by Use of Integrated Bioinformatics Analysis and Validation by Immunohistochemistry Assay.
Zhang L; Sun L; Zhang B; Chen L
Med Sci Monit; 2019 Dec; 25():9902-9912. PubMed ID: 31871312
[TBL] [Abstract][Full Text] [Related]
15. Screening the molecular targets of ovarian cancer based on bioinformatics analysis.
Du L; Qian X; Dai C; Wang L; Huang D; Wang S; Shen X
Tumori; 2015; 101(4):384-9. PubMed ID: 25953442
[TBL] [Abstract][Full Text] [Related]
16. Investigation of hypoxia networks in ovarian cancer via bioinformatics analysis.
Zhang K; Kong X; Feng G; Xiang W; Chen L; Yang F; Cao C; Ding Y; Chen H; Chu M; Wang P; Zhang B
J Ovarian Res; 2018 Feb; 11(1):16. PubMed ID: 29482638
[TBL] [Abstract][Full Text] [Related]
17. Bioinformatics analysis of mRNA and miRNA microarray to identify the key miRNA-mRNA pairs in cisplatin-resistant ovarian cancer.
Xue B; Li S; Jin X; Liu L
BMC Cancer; 2021 Apr; 21(1):452. PubMed ID: 33892654
[TBL] [Abstract][Full Text] [Related]
18. Identification of prostate cancer hub genes and therapeutic agents using bioinformatics approach.
Fang E; Zhang X; Wang Q; Wang D
Cancer Biomark; 2017 Dec; 20(4):553-561. PubMed ID: 28800317
[TBL] [Abstract][Full Text] [Related]
19. 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
Biomed Res Int; 2020; 2020():9710421. PubMed ID: 32337286
[TBL] [Abstract][Full Text] [Related]
20. Bioinformatics Analysis of Key Genes and Pathways Associated with Thrombosis in Essential Thrombocythemia.
Guo C; Li Z
Med Sci Monit; 2019 Dec; 25():9262-9271. PubMed ID: 31801935
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]