BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

380 related articles for article (PubMed ID: 29608426)

  • 1. Identification of Hub Genes and Pathways in Zika Virus Infection Using RNA-Seq Data: A Network-Based Computational Approach.
    Brahma R; Gurumayum S; Naorem LD; Muthaiyan M; Gopal J; Venkatesan A
    Viral Immunol; 2018 May; 31(4):321-332. PubMed ID: 29608426
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.
    Hu S; Liao Y; Chen L
    Med Sci Monit; 2018 Sep; 24():6438-6448. PubMed ID: 30213925
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The identification of key genes and pathways in hepatocellular carcinoma by bioinformatics analysis of high-throughput data.
    Zhang C; Peng L; Zhang Y; Liu Z; Li W; Chen S; Li G
    Med Oncol; 2017 Jun; 34(6):101. PubMed ID: 28432618
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of key genes and associated pathways in KIT/PDGFRA wild‑type gastrointestinal stromal tumors through bioinformatics analysis.
    Wang WJ; Li HT; Yu JP; Li YM; Han XP; Chen P; Yu WW; Chen WK; Jiao ZY; Liu HB
    Mol Med Rep; 2018 Nov; 18(5):4499-4515. PubMed ID: 30221743
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Gene network in pulmonary tuberculosis based on bioinformatic analysis.
    Li L; Lv J; He Y; Wang Z
    BMC Infect Dis; 2020 Aug; 20(1):612. PubMed ID: 32811479
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of Diagnostic Gene Markers and Immune Infiltration in Systemic Lupus.
    Hu H; He C
    Comput Math Methods Med; 2022; 2022():3386999. PubMed ID: 35558576
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Molecular mechanisms underlying gliomas and glioblastoma pathogenesis revealed by bioinformatics analysis of microarray data.
    Vastrad B; Vastrad C; Godavarthi A; Chandrashekar R
    Med Oncol; 2017 Sep; 34(11):182. PubMed ID: 28952134
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Identification of key genes and pathways in benign prostatic hyperplasia.
    Ke ZB; Cai H; Wu YP; Lin YZ; Li XD; Huang JB; Sun XL; Zheng QS; Xue XY; Wei Y; Xu N
    J Cell Physiol; 2019 Nov; 234(11):19942-19950. PubMed ID: 31187492
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Microarray gene expression profiling and bioinformatics analysis reveal key differentially expressed genes in clival and sacral chordoma cell lines.
    Li G; Cai L; Zhou L
    Neurol Res; 2019 Jun; 41(6):554-561. PubMed ID: 30821656
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Identification and Integrated Analysis of Key Biomarkers for Diagnosis and Prognosis of Non-Small Cell Lung Cancer.
    Liu X; Liu X; Li J; Ren F
    Med Sci Monit; 2019 Dec; 25():9280-9289. PubMed ID: 31805030
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic.
    Hasankhani A; Bahrami A; Sheybani N; Aria B; Hemati B; Fatehi F; Ghaem Maghami Farahani H; Javanmard G; Rezaee M; Kastelic JP; Barkema HW
    Front Immunol; 2021; 12():789317. PubMed ID: 34975885
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Skt11-regulated genes in chondrocytes by integrated bioinformatics analysis.
    Liang S; Zhang JM; Lv ZT; Cheng P; Zhu WT; Chen AM
    Gene; 2018 Nov; 677():340-348. PubMed ID: 30107230
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Gene microarray analysis of expression profiles in Suberoyllanilide hyroxamic acid-treated Dendritic cells.
    Zhang J; Liu Y; Shi G
    Biochem Biophys Res Commun; 2019 Jan; 508(2):392-397. PubMed ID: 30502083
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of hub genes, pathways, and related transcription factors in systemic lupus erythematosus: A preliminary bioinformatics analysis.
    Wang Y; Ma Q; Huo Z
    Medicine (Baltimore); 2021 Jun; 100(25):e26499. PubMed ID: 34160465
    [TBL] [Abstract][Full Text] [Related]  

  • 16. An in silico integrative protocol for identifying key genes and pathways useful to understand emerging virus disease pathogenesis.
    Souza GAP; Salvador EA; de Oliveira FR; Cotta Malaquias LC; Abrahão JS; Leomil Coelho LF
    Virus Res; 2020 Jul; 284():197986. PubMed ID: 32339536
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Bioinformatics identification of crucial genes and pathways associated with hepatocellular carcinoma.
    Gao X; Wang X; Zhang S
    Biosci Rep; 2018 Dec; 38(6):. PubMed ID: 30341252
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Decoding Psoriasis: Integrated Bioinformatics Approach to Understand Hub Genes and Involved Pathways.
    Choudhary S; Pradhan D; Khan NS; Singh H; Thomas G; Jain AK
    Curr Pharm Des; 2020; 26(29):3619-3630. PubMed ID: 32160841
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Integrated analysis of differentially expressed genes and pathways in triple‑negative breast cancer.
    Peng C; Ma W; Xia W; Zheng W
    Mol Med Rep; 2017 Mar; 15(3):1087-1094. PubMed ID: 28075450
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Bioinformatics identification of key candidate genes and pathways associated with systemic lupus erythematosus.
    Yang F; Zhai Z; Luo X; Luo G; Zhuang L; Zhang Y; Li Y; Sun E; He Y
    Clin Rheumatol; 2020 Feb; 39(2):425-434. PubMed ID: 31673979
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.