In silico identification of robust stage-specific gene signatures in neuroblastoma: Integrating microarray meta-analysis with machine learning and cross-platform validation.

Liu D, Kuo J, Wu YC, Hsieh SY, Huang AR, Lin CH

Open source

DOI
10.1016/j.compbiolchem.2026.109415
Published
2026 Sep 19
Container
Computational biology and chemistry
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.compbiolchem.2026.109415,
  title = {In silico identification of robust stage-specific gene signatures in neuroblastoma: Integrating microarray meta-analysis with machine learning and cross-platform validation.},
  author = {Liu D and Kuo J and Wu YC and Hsieh SY and Huang AR and Lin CH},
  year = {2026},
  journal = {Computational biology and chemistry},
  doi = {10.1016/j.compbiolchem.2026.109415},
  url = {https://doi.org/10.1016/j.compbiolchem.2026.109415}
}

RIS

TY  - JOUR
TI  - In silico identification of robust stage-specific gene signatures in neuroblastoma: Integrating microarray meta-analysis with machine learning and cross-platform validation.
AU  - Liu D
AU  - Kuo J
AU  - Wu YC
AU  - Hsieh SY
AU  - Huang AR
AU  - Lin CH
PY  - 2026
JO  - Computational biology and chemistry
DO  - 10.1016/j.compbiolchem.2026.109415
UR  - https://doi.org/10.1016/j.compbiolchem.2026.109415
ER  - 

APA

D, L., J, K., YC, W., SY, H., AR, H., & CH, L. (2026). In silico identification of robust stage-specific gene signatures in neuroblastoma: Integrating microarray meta-analysis with machine learning and cross-platform validation.. Computational biology and chemistry. https://doi.org/10.1016/j.compbiolchem.2026.109415

Source records