175 related articles for article (PubMed ID: 35716513)
1. Identifying crucial biomarkers in peripheral blood of schizophrenia and screening therapeutic agents by comprehensive bioinformatics analysis.
Xie M; Li Z; Li X; Ai L; Jin M; Jia N; Yang Y; Li W; Xue F; Zhang M; Yu Q
J Psychiatr Res; 2022 Aug; 152():86-96. PubMed ID: 35716513
[TBL] [Abstract][Full Text] [Related]
2. Network-Based Data Analysis Reveals Ion Channel-Related Gene Features in COVID-19: A Bioinformatic Approach.
Zhang H; Feng T
Biochem Genet; 2023 Apr; 61(2):471-505. PubMed ID: 36104591
[TBL] [Abstract][Full Text] [Related]
3. Identification of biomarkers, immune infiltration landscape, and treatment targets of ischemia-reperfusion acute kidney injury at an early stage by bioinformatics methods.
You R; Heyang Z; Ma Y; Xia P; Zheng H; Lin J; Ji P; Chen L
Hereditas; 2022 Jun; 159(1):24. PubMed ID: 35658960
[TBL] [Abstract][Full Text] [Related]
4. Three hematologic/immune system-specific expressed genes are considered as the potential biomarkers for the diagnosis of early rheumatoid arthritis through bioinformatics analysis.
Cheng Q; Chen X; Wu H; Du Y
J Transl Med; 2021 Jan; 19(1):18. PubMed ID: 33407587
[TBL] [Abstract][Full Text] [Related]
5. Identifying differentially expressed genes and miRNAs in Kawasaki disease by bioinformatics analysis.
Cai Y; Hu W
Sci Rep; 2022 Dec; 12(1):21879. PubMed ID: 36536067
[TBL] [Abstract][Full Text] [Related]
6. Study on potential differentially expressed genes in stroke by bioinformatics analysis.
Yang X; Wang P; Yan S; Wang G
Neurol Sci; 2022 Feb; 43(2):1155-1166. PubMed ID: 34313877
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Screening and identification of key biomarkers associated with amyotrophic lateral sclerosis and depression using bioinformatics.
Wang Z; Yang H; Han Y; Teng J; Kong X; Qi X
Medicine (Baltimore); 2023 Nov; 102(47):e36265. PubMed ID: 38013317
[TBL] [Abstract][Full Text] [Related]
9. Identification of novel genes associated with a poor prognosis in pancreatic ductal adenocarcinoma via a bioinformatics analysis.
Zhou J; Hui X; Mao Y; Fan L
Biosci Rep; 2019 Aug; 39(8):. PubMed ID: 31311829
[TBL] [Abstract][Full Text] [Related]
10. Both Peripheral Blood and Urinary miR-195-5p, miR-192-3p, miR-328-5p and Their Target Genes PPM1A, RAB1A and BRSK1 May Be Potential Biomarkers for Membranous Nephropathy.
Zhou G; Zhang X; Wang W; Zhang W; Wang H; Xin G
Med Sci Monit; 2019 Mar; 25():1903-1916. PubMed ID: 30865617
[TBL] [Abstract][Full Text] [Related]
11. Identification of molecular signatures and pathways to identify novel therapeutic targets in Alzheimer's disease: Insights from a systems biomedicine perspective.
Rahman MR; Islam T; Zaman T; Shahjaman M; Karim MR; Huq F; Quinn JMW; Holsinger RMD; Gov E; Moni MA
Genomics; 2020 Mar; 112(2):1290-1299. PubMed ID: 31377428
[TBL] [Abstract][Full Text] [Related]
12. Identification of potential biomarkers of gout through competitive endogenous RNA network analysis.
Li Y; Huang C; Yang Z; Wang L; Luo D; Qi L; Li Z; Huang Y
Eur J Pharm Sci; 2022 Jun; 173():106180. PubMed ID: 35378210
[TBL] [Abstract][Full Text] [Related]
13. Network-Based Genetic Profiling Reveals Cellular Pathway Differences Between Follicular Thyroid Carcinoma and Follicular Thyroid Adenoma.
Hossain MA; Asa TA; Rahman MM; Uddin S; Moustafa AA; Quinn JMW; Moni MA
Int J Environ Res Public Health; 2020 Feb; 17(4):. PubMed ID: 32093341
[TBL] [Abstract][Full Text] [Related]
14. Bioinformatics strategies to identify differences in molecular biomarkers for ischemic stroke and myocardial infarction.
Wang M; Gao Y; Chen H; Shen Y; Cheng J; Wang G
Medicine (Baltimore); 2023 Nov; 102(46):e35919. PubMed ID: 37986378
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Employing bioinformatics analysis to identify hub genes and microRNAs involved in colorectal cancer.
Ebadfardzadeh J; Kazemi M; Aghazadeh A; Rezaei M; Shirvaliloo M; Sheervalilou R
Med Oncol; 2021 Aug; 38(9):114. PubMed ID: 34390411
[TBL] [Abstract][Full Text] [Related]
17. Microarray data analysis on gene and miRNA expression to identify biomarkers in non-small cell lung cancer.
Jin X; Guan Y; Zhang Z; Wang H
BMC Cancer; 2020 Apr; 20(1):329. PubMed ID: 32299382
[TBL] [Abstract][Full Text] [Related]
18. MicroRNA Expression Profiles Identify Biomarker for Differentiating the Embolic Stroke from Thrombotic Stroke.
Chen LT; Jiang CY
Biomed Res Int; 2018; 2018():4514178. PubMed ID: 30627556
[TBL] [Abstract][Full Text] [Related]
19. Identification of the key genes and microRNAs in adult acute myeloid leukemia with FLT3 mutation by bioinformatics analysis.
Chen S; Chen Y; Zhu Z; Tan H; Lu J; Qin P; Xu L
Int J Med Sci; 2020; 17(9):1269-1280. PubMed ID: 32547322
[No Abstract] [Full Text] [Related]
20. Identification of Hub Genes Associated with Diabetes Mellitus and Tuberculosis Using Bioinformatic Analysis.
Liu S; Ren W; Yu J; Li C; Tang S
Int J Gen Med; 2021; 14():4061-4072. PubMed ID: 34354368
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
