Ya-Li Chen
Biographic Data
| ID | 9071454 |
|---|---|
| NAME | Ya-Li Chen |
| GIVEN NAMES | Ya-Li |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN Y |
| AFFILIATIONS | Chinese Academy of Medical Sciences & Peking Union Medical College |
| ORCID | 0009-0007-7829-8002 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Diagnostic yield of nine user-friendly bioinformatics tools for predicting Mycobacterium tuberculosis drug resistance
To compare the diagnostic yield of various bioinformatics tools for predicting Mycobacterium tuberculosis drug resistance. A systematic review of PubMed, Embase, Scopus, Web of Science, CINAHL and the Cochrane Library was performed to identify studies reporting the effectiveness of bioinformatic tools for predicting resistance to anti-tuberculosis (TB) drugs. Data were collected and pooled using random-effects meta-analysis and Bayesian network m…
Diagnostic value of the cerebrospinal fluid lipoarabinomannan assay for tuberculous meningitis
Smoking-related cancer death among men and women in an ageing society (China 2020–2040)
Coordinated efforts are urgently needed to curtail a rising tide of cancer deaths in China, with intensified tobacco control being key
No prominent works on this page.
Smoking-related cancer death among men and women in an ageing society (China 2020–2040)
Coordinated efforts are urgently needed to curtail a rising tide of cancer deaths in China, with intensified tobacco control being key
Diagnostic value of the cerebrospinal fluid lipoarabinomannan assay for tuberculous meningitis
Diagnostic yield of nine user-friendly bioinformatics tools for predicting Mycobacterium tuberculosis drug resistance
To compare the diagnostic yield of various bioinformatics tools for predicting Mycobacterium tuberculosis drug resistance. A systematic review of PubMed, Embase, Scopus, Web of Science, CINAHL and the Cochrane Library was performed to identify studies reporting the effectiveness of bioinformatic tools for predicting resistance to anti-tuberculosis (TB) drugs. Data were collected and pooled using random-effects meta-analysis and Bayesian network m…
Air Quality and Health Impacts (1 work) · Cancer (1 work) · Cancer Risks and Factors (1 work) · Cause of death (1 work) · China (1 work) · Demography (1 work) · Demography (1 work) · Disease (1 work) · Environmental health (1 work) · Geography (1 work)