Education, Science, Technology, Innovation and Life
Open Access
Sign In

Selection of tumor characteristic genes based on data mining technology

Download as PDF

DOI: 10.23977/phpm.2022.020206 | Downloads: 2 | Views: 121

Author(s)

Mingxi Chen 1, Yunhao Liu 2, Junming Hou 3

Affiliation(s)

1 Shaanxi University of Chinese Medicine, Xixian Avenue, Xixian new area 712046, Shaanxi Province
2 Affiliated Hospital of Shaanxi University of Chinese Medicine, No. 2, Weiyang West Road, Qindu District, Xianyang City 712000, Shaanxi Province, Department of Surgical Thoracic
3 Affiliated Hospital of Shaanxi University of Chinese Medicine, No. 2, Weiyang West Road, Qindu District, Xianyang, Department of Surgical Oncology

Corresponding Author

Junming Hou

ABSTRACT

Gene chip technology is widely used to study gene expression patterns of cells at genome level because it can quickly measure the expression levels of thousands of genes at the same time. Gene microarray technology can track and monitor tens of thousands of gene expression levels in different tissues. It not only provides a powerful scientific basis for cancer biology research, but also helps the classification and identification of cancer tissues. With the wide application of microarray technology in the research of tumor diseases, a large number of tumor gene expression profile data with high dimensions and few samples have been produced. Because of its high efficiency and high throughput, DNA microarray technology has been widely used in various biomedical researches, which can detect a large number of tumor gene expression. Based on data mining technology, today, big data technology has been widely used in all walks of life, which has greatly promoted the development and progress of society. Therefore, in-depth research and discussion on big data technology is of great significance for its future optimization and development.

KEYWORDS

Data mining technology, Tumor characteristics, Gene selection

CITE THIS PAPER

Mingxi Chen, Yunhao Liu, Junming Hou, Selection of tumor characteristic genes based on data mining technology. MEDS Public Health and Preventive Medicine (2022) Vol. 2: 36-41. DOI: http://dx.doi.org/10.23977/phpm.2022.020206.

REFERENCES

[1] Imtiyaz H Z, Williams E P, Hickey M M, et al. Hypoxia-inducible factor 2α regulates macrophage function in mouse models of acute and tumor inflammation [J]. Journal of Clinical Investigation, 2018, 120(8): 2699-2714.
[2] Francesco S, Fabio P, Mariann M, et al. TrAp: a tree approach for fingerprinting subclonal tumor composition[J]. Nucleic Acids Research, 2019, 41(17): e165-e165.
[3] Jackson T L. A mathematical model of prostate tumor growth and androgen-independent relapse [J]. Discrete and Continuous Dynamical Systems - Series B (DCDS-B), 2017, 4(1): 187-201.
[4] Bonnard I, Rolland M, Salmon J M, et al. Total Structure and Inhibition of Tumor Cell Proliferation of Laxaphycins [J]. Journal of Medicinal Chemistry, 2017, 50(6): 1266-1279.
[5] Maria Ibáez-Vea, Zuazo M, Gato M, et al. Myeloid-Derived Suppressor Cells in the Tumor Microenvironment: Current Knowledge and Future Perspectives [J]. Archivum Immunologiae et Therapiae Experimentalis, 2017, 66(2): 1-11.
[6] Huang J K, Jia T, Carlin D E, et al. pyNBS: a Python implementation for network-based stratification of tumor mutations [J]. Bioinformatics, 2018(16): 16.
[7] Epardaud M, Elpek K G, Rubinstein M P, et al. Interleukin-15/interleukin-15R alpha complexes promote destruction of established tumors by reviving tumor-resident CD8+ T cells. [J]. Cancer Research, 2017, 68(8): 2972-2983.
[8] O'Toole C, Stejskal V, Perlmann P, et al. Lymphoid cells mediating tumor-specific cytotoxicity to carcinoma of the urinary bladder. Separation of the effector population using a surface marker. [J]. Journal of Experimental Medicine, 2019, 139(3): 457-466.
[9] Mcgranahan N, Swanton C. Clonal Heterogeneity and Tumor Evolution: Past, Present, and the Future[J]. Cell, 2017, 168(4):613-628.
[10] O’Hara S Mark, Moreno J G, Zweitzig D R, et al. Multigene Reverse Transcription-PCR Profiling of Circulating Tumor Cells in Hormone-Refractory Prostate Cancer [J]. Clinical Chemistry, 2020(5): 5.
[11] Galbraith G M, Steed R B, Sanders J J, et al. Tumor necrosis factor alpha production by oral leukocytes: influence of tumor necrosis factor genotype. [J]. Journal of Periodontology, 2017, 69(4): 428-33.
[12] Davoli T, Uno H, Wooten E C, et al. Tumor aneuploidy correlates with markers of immune evasion and with reduced response to immunotherapy [J]. Science, 2017, 355(6322): eaaf8399.
[13] Roit F D, Engelberts P J, Taylor R P, et al. Ibrutinib interferes with the cell-mediated anti-tumor activities of therapeutic CD20 antibodies: implications for combination therapy [J]. Haematologica, 2017, 100(1): 77-86.

Downloads: 222
Visits: 15306

Sponsors, Associates, and Links


All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.