Zhiyong Ren
Biographic Data
| ID | 10405895 |
|---|---|
| NAME | Zhiyong Ren |
| GIVEN NAMES | Zhiyong |
| FAMILY NAME | Ren |
| SIGNATURE | REN Z |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Explore autophagy-related lncRNA-miRNA-mRNA ceRNA networks for diagnosis of early-onset schizophrenia through transcriptome analysis
Through transcriptome analysis, we searched for diagnostic autophagy-related ceRNA networks, which provided valuable candidates for the early diagnosis of EOS
Sentence-level multi-modal feature learning for depression recognition
The SMFL methodology represents a significant advancement in the diagnostic processes of depression, promising a cost-effective, private, and accessible diagnostic tool that aligns with the PHQ-8 clinical standard. By broadening the accessibility of mental health resources, this methodology has the potential to revolutionize the landscape of psychiatric evaluation, augmenting the precision of depression identification and enhancing the overall me…
No prominent works on this page.
Explore autophagy-related lncRNA-miRNA-mRNA ceRNA networks for diagnosis of early-onset schizophrenia through transcriptome analysis
Through transcriptome analysis, we searched for diagnostic autophagy-related ceRNA networks, which provided valuable candidates for the early diagnosis of EOS
Sentence-level multi-modal feature learning for depression recognition
The SMFL methodology represents a significant advancement in the diagnostic processes of depression, promising a cost-effective, private, and accessible diagnostic tool that aligns with the PHQ-8 clinical standard. By broadening the accessibility of mental health resources, this methodology has the potential to revolutionize the landscape of psychiatric evaluation, augmenting the precision of depression identification and enhancing the overall me…
Artificial Intelligence (1 work) · Autophagy (1 work) · Autophagy in Disease and Therapy (1 work) · Bioinformatics (1 work) · Biology (1 work) · Cancer-related molecular mechanisms research (1 work) · Competing endogenous RNA (1 work) · Computational biology (1 work) · Computer Science (1 work) · Convolutional neural network (1 work)