PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach.
- DOI
- 10.1186/s12859-023-05187-2
- Published
- 2023 Feb 23
- Container
- BMC bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12859-023-05187-2,
title = {PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach.},
author = {Yousef M and Ozdemir F and Jaber A and Allmer J and Bakir-Gungor B},
year = {2023},
journal = {BMC bioinformatics},
doi = {10.1186/s12859-023-05187-2},
url = {https://doi.org/10.1186/s12859-023-05187-2}
}RIS
TY - JOUR TI - PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach. AU - Yousef M AU - Ozdemir F AU - Jaber A AU - Allmer J AU - Bakir-Gungor B PY - 2023 JO - BMC bioinformatics DO - 10.1186/s12859-023-05187-2 UR - https://doi.org/10.1186/s12859-023-05187-2 ER -
APA
M, Y., F, O., A, J., J, A., & B, B. (2023). PriPath: identifying dysregulated pathways from differential gene expression via grouping, scoring, and modeling with an embedded feature selection approach.. BMC bioinformatics. https://doi.org/10.1186/s12859-023-05187-2
Source records
- pubmed · retrieved 2026-09-26T07:14:38.089Z