209 related articles for article (PubMed ID: 37359050)
41. The underlying molecular mechanism and potential drugs for treatment in papillary renal cell carcinoma: A study based on TCGA and Cmap datasets.
Pang JS; Li ZK; Lin P; Wang XD; Chen G; Yan HB; Li SH
Oncol Rep; 2019 Apr; 41(4):2089-2102. PubMed ID: 30816528
[TBL] [Abstract][Full Text] [Related]
42. Bioinformatics Screening of Potential Biomarkers from mRNA Expression Profiles to Discover Drug Targets and Agents for Cervical Cancer.
Reza MS; Harun-Or-Roshid M; Islam MA; Hossen MA; Hossain MT; Feng S; Xi W; Mollah MNH; Wei Y
Int J Mol Sci; 2022 Apr; 23(7):. PubMed ID: 35409328
[TBL] [Abstract][Full Text] [Related]
43. Identification of key genes and pathways in castrate-resistant prostate cancer by integrated bioinformatics analysis.
Wu YP; Ke ZB; Lin F; Wen YA; Chen S; Li XD; Chen SH; Sun XL; Huang JB; Zheng QS; Xue XY; Wei Y; Xu N
Pathol Res Pract; 2020 Oct; 216(10):153109. PubMed ID: 32853947
[TBL] [Abstract][Full Text] [Related]
44. Bioinformatics Analysis and Identification of Genes and Molecular Pathways Involved in Synovial Inflammation in Rheumatoid Arthritis.
Xiong Y; Mi BB; Liu MF; Xue H; Wu QP; Liu GH
Med Sci Monit; 2019 Mar; 25():2246-2256. PubMed ID: 30916045
[TBL] [Abstract][Full Text] [Related]
45. Identification of Potential Hub Genes and Therapeutic Drugs in Malignant Pleural Mesothelioma by Integrated Bioinformatics Analysis.
Zhang X; Yang L; Chen W; Kong M
Oncol Res Treat; 2020; 43(12):656-671. PubMed ID: 33032291
[TBL] [Abstract][Full Text] [Related]
46. Diagnostic biomarker candidates for pulpitis revealed by bioinformatics analysis of merged microarray gene expression datasets.
Chen M; Zeng J; Yang Y; Wu B
BMC Oral Health; 2020 Oct; 20(1):279. PubMed ID: 33046027
[TBL] [Abstract][Full Text] [Related]
47. Identification of novel prognostic targets in glioblastoma using bioinformatics analysis.
Yin X; Wu Q; Hao Z; Chen L
Biomed Eng Online; 2022 Apr; 21(1):26. PubMed ID: 35436915
[TBL] [Abstract][Full Text] [Related]
48. Identification of hub genes in thyroid carcinoma to predict prognosis by integrated bioinformatics analysis.
Pan Y; Wu L; He S; Wu J; Wang T; Zang H
Bioengineered; 2021 Dec; 12(1):2928-2940. PubMed ID: 34167437
[TBL] [Abstract][Full Text] [Related]
49. Bioinformatics prediction and experimental verification of key biomarkers for diabetic kidney disease based on transcriptome sequencing in mice.
Zhao J; He K; Du H; Wei G; Wen Y; Wang J; Zhou X; Wang J
PeerJ; 2022; 10():e13932. PubMed ID: 36157062
[TBL] [Abstract][Full Text] [Related]
50. Identification for Exploring Underlying Pathogenesis and Therapy Strategy of Oral Squamous Cell Carcinoma by Bioinformatics Analysis.
Xu Z; Jiang P; He S
Med Sci Monit; 2019 Dec; 25():9216-9226. PubMed ID: 31794546
[TBL] [Abstract][Full Text] [Related]
51. Identification of significant genes as prognostic markers and potential tumor suppressors in lung adenocarcinoma via bioinformatical analysis.
Lu M; Fan X; Liao W; Li Y; Ma L; Yuan M; Gu R; Wei Z; Wang C; Zhang H
BMC Cancer; 2021 May; 21(1):616. PubMed ID: 34039311
[TBL] [Abstract][Full Text] [Related]
52. Identification of Key Biomarkers and Potential Molecular Mechanisms in Renal Cell Carcinoma by Bioinformatics Analysis.
Li F; Guo P; Dong K; Guo P; Wang H; Lv X
J Comput Biol; 2019 Nov; 26(11):1278-1295. PubMed ID: 31233342
[No Abstract] [Full Text] [Related]
53. Robust Identification of Differential Gene Expression Patterns from Multiple Transcriptomics Datasets for Early Diagnosis, Prognosis, and Therapies for Breast Cancer.
Tuly KF; Hossen MB; Islam MA; Kibria MK; Alam MS; Harun-Or-Roshid M; Begum AA; Hasan S; Mahumud RA; Mollah MNH
Medicina (Kaunas); 2023 Sep; 59(10):. PubMed ID: 37893423
[No Abstract] [Full Text] [Related]
54. 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]
55. Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis.
Kolur V; Vastrad B; Vastrad C; Kotturshetti S; Tengli A
BMC Cardiovasc Disord; 2021 Jul; 21(1):329. PubMed ID: 34218797
[TBL] [Abstract][Full Text] [Related]
56. Integrated Bioinformatics Analysis Identifies Hub Genes Associated with the Pathogenesis and Prognosis of Esophageal Squamous Cell Carcinoma.
Zhang H; Zhong J; Tu Y; Liu B; Chen Z; Luo Y; Tang Y; Xiao F; Zhong J
Biomed Res Int; 2019; 2019():2615921. PubMed ID: 31950035
[TBL] [Abstract][Full Text] [Related]
57. Identification of intrinsically disordered regions in hub genes of acute myeloid leukemia: A bioinformatics approach.
Ameri M; Alipour M; Madihi M; Nezafat N
Biotechnol Appl Biochem; 2022 Dec; 69(6):2304-2322. PubMed ID: 34812529
[TBL] [Abstract][Full Text] [Related]
58. Identification of lung adenocarcinoma biomarkers based on bioinformatic analysis and human samples.
Dong S; Men W; Yang S; Xu S
Oncol Rep; 2020 May; 43(5):1437-1450. PubMed ID: 32323809
[TBL] [Abstract][Full Text] [Related]
59. Bioinformatics analysis of key biomarkers and pathways in KSHV infected endothelial cells.
Gong HB; Wu XJ; Pu XM; Kang XJ
Medicine (Baltimore); 2019 Jul; 98(27):e16277. PubMed ID: 31277155
[TBL] [Abstract][Full Text] [Related]
60. Identification of core genes and outcomes in hepatocellular carcinoma by bioinformatics analysis.
Shen S; Kong J; Qiu Y; Yang X; Wang W; Yan L
J Cell Biochem; 2019 Jun; 120(6):10069-10081. PubMed ID: 30525236
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]
