2024
DOI: 10.1111/jcmm.70181
|View full text |Cite
|
Sign up to set email alerts
|

Exploration of the biological mechanisms of CENPA as an oncogene in glioma: Screening based on cancer functional status

Yuanguo Ling,
Wei Teng,
Niya Long
et al.

Abstract: Glioma is the most common primary tumour in central nervous system, characterized by high invasiveness, a high recurrence rate and extremely poor prognosis. Machine learning based on cancer functional state helps to combine multi‐omics methods to screen for key gene, such as CENPA, that influences the phenotype of glioma and patients' prognosis. Based on 14 CFS, glioma was divided into three subtypes. Bioinformatics and machine learning methods were utilized to develop an enhanced prognostic prediction signatu… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 40 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?