Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data.
- DOI
- 10.1186/s12859-024-05795-6
- Published
- 2024-04-26
- Container
- BMC Bioinformatics
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12859-024-05795-6,
title = {Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data.},
author = {Oshternian SR and Loipfinger S and Bhattacharya A and Fehrmann RSN.},
year = {2024},
journal = {BMC Bioinformatics},
doi = {10.1186/s12859-024-05795-6},
url = {https://doi.org/10.1186/s12859-024-05795-6}
}RIS
TY - JOUR TI - Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data. AU - Oshternian SR AU - Loipfinger S AU - Bhattacharya A AU - Fehrmann RSN. PY - 2024 JO - BMC Bioinformatics DO - 10.1186/s12859-024-05795-6 UR - https://doi.org/10.1186/s12859-024-05795-6 ER -
APA
SR, O., S, L., A, B., & RSN., F. (2024). Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data.. BMC Bioinformatics. https://doi.org/10.1186/s12859-024-05795-6
Source records
- europe-pmc · retrieved 2026-09-25T22:45:30.387Z
- doaj · retrieved 2026-09-25T22:45:30.400Z