Computational Analysis of Transcriptomic and Proteomic Data for Deciphering Molecular Heterogeneity and Drug Responsiveness in Model Human Hepatocellular Carcinoma Cell Lines.
- DOI
- 10.3390/genes11060623
- Published
- 2020 Jun 5
- Container
- Genes
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/genes11060623,
title = {Computational Analysis of Transcriptomic and Proteomic Data for Deciphering Molecular Heterogeneity and Drug Responsiveness in Model Human Hepatocellular Carcinoma Cell Lines.},
author = {Agioutantis PC and Loutrari H and Kolisis FN},
year = {2020},
journal = {Genes},
doi = {10.3390/genes11060623},
url = {https://doi.org/10.3390/genes11060623}
}RIS
TY - JOUR TI - Computational Analysis of Transcriptomic and Proteomic Data for Deciphering Molecular Heterogeneity and Drug Responsiveness in Model Human Hepatocellular Carcinoma Cell Lines. AU - Agioutantis PC AU - Loutrari H AU - Kolisis FN PY - 2020 JO - Genes DO - 10.3390/genes11060623 UR - https://doi.org/10.3390/genes11060623 ER -
APA
PC, A., H, L., & FN, K. (2020). Computational Analysis of Transcriptomic and Proteomic Data for Deciphering Molecular Heterogeneity and Drug Responsiveness in Model Human Hepatocellular Carcinoma Cell Lines.. Genes. https://doi.org/10.3390/genes11060623
Source records
- pubmed · retrieved 2026-09-26T21:41:14.317Z