Yankun Wu
Biographic Data
| ID | 7979342 |
|---|---|
| NAME | Yankun Wu |
| GIVEN NAMES | Yankun |
| FAMILY NAME | Wu |
| SIGNATURE | WU Y |
| AFFILIATIONS | Peking University |
| ORCID | 0009-0007-8696-9240 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Hedonic capacity in a Chinese community population sample: Psychometric properties of the dimensional anhedonia rating scale (Dars) and exploration of gender differences
The Chinese version of the DARS is an effective tool for assessing hedonic capacity, i.e. screening for depression in community-dwelling populations. The observed gender differences in hedonic capacity imply that future mental health services could be more effective if adapted based on gender
Weighted Gene Coexpression Network Analysis Reveals Essential Genes and Pathways in Bipolar Disorder
Bipolar disorder (BD) is a major and highly heritable mental illness with severe psychosocial impairment, but its etiology and pathogenesis remains unclear. This study aimed to identify the essential pathways and genes involved in BD using weighted gene coexpression network analysis (WGCNA), a bioinformatic method studying the relationships between genes and phenotypes. Using two available BD gene expression datasets (GSE5388, GSE5389), we constr…
Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis
Background: At present, laboratory blood tests to support major depressive disorder (MDD) diagnosis are not available. This study aimed to screen potential mRNAs for peripheral blood biomarkers and novel pathophysiology of MDD. Methods: The present study utilized public data from two mRNA microarray datasets to analyze the hub genes changes related to MDD. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway anal…
No prominent works on this page.
Identification of Key Genes and the Pathophysiology Associated With Major Depressive Disorder Patients Based on Integrated Bioinformatics Analysis
Background: At present, laboratory blood tests to support major depressive disorder (MDD) diagnosis are not available. This study aimed to screen potential mRNAs for peripheral blood biomarkers and novel pathophysiology of MDD. Methods: The present study utilized public data from two mRNA microarray datasets to analyze the hub genes changes related to MDD. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway anal…
Weighted Gene Coexpression Network Analysis Reveals Essential Genes and Pathways in Bipolar Disorder
Bipolar disorder (BD) is a major and highly heritable mental illness with severe psychosocial impairment, but its etiology and pathogenesis remains unclear. This study aimed to identify the essential pathways and genes involved in BD using weighted gene coexpression network analysis (WGCNA), a bioinformatic method studying the relationships between genes and phenotypes. Using two available BD gene expression datasets (GSE5388, GSE5389), we constr…
Hedonic capacity in a Chinese community population sample: Psychometric properties of the dimensional anhedonia rating scale (Dars) and exploration of gender differences
The Chinese version of the DARS is an effective tool for assessing hedonic capacity, i.e. screening for depression in community-dwelling populations. The observed gender differences in hedonic capacity imply that future mental health services could be more effective if adapted based on gender
Biology (2 works) · Computational biology (2 works) · Gene (2 works) · Gene expression (2 works) · Genetics (2 works) · KEGG (2 works) · Anhedonia (1 works) · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (1 works) · Applied Psychology (1 works) · Applied Psychology (1 works)