Familiarity Breeds Strategy: In Silico Untangling of the Molecular Complexity on Course of Autoimmune Liver Disease-to-Hepatocellular Carcinoma Transition Predicts Novel Transcriptional Signatures.
- DOI
- 10.3390/cells10081917
- Published
- 2021 Jul 29
- Container
- Cells
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/cells10081917,
title = {Familiarity Breeds Strategy: In Silico Untangling of the Molecular Complexity on Course of Autoimmune Liver Disease-to-Hepatocellular Carcinoma Transition Predicts Novel Transcriptional Signatures.},
author = {Mukherjee S and Kar A and Khatun N and Datta P and Biswas A and Barik S},
year = {2021},
journal = {Cells},
doi = {10.3390/cells10081917},
url = {https://doi.org/10.3390/cells10081917}
}RIS
TY - JOUR TI - Familiarity Breeds Strategy: In Silico Untangling of the Molecular Complexity on Course of Autoimmune Liver Disease-to-Hepatocellular Carcinoma Transition Predicts Novel Transcriptional Signatures. AU - Mukherjee S AU - Kar A AU - Khatun N AU - Datta P AU - Biswas A AU - Barik S PY - 2021 JO - Cells DO - 10.3390/cells10081917 UR - https://doi.org/10.3390/cells10081917 ER -
APA
S, M., A, K., N, K., P, D., A, B., & S, B. (2021). Familiarity Breeds Strategy: In Silico Untangling of the Molecular Complexity on Course of Autoimmune Liver Disease-to-Hepatocellular Carcinoma Transition Predicts Novel Transcriptional Signatures.. Cells. https://doi.org/10.3390/cells10081917
Source records
- pubmed · retrieved 2026-09-26T02:07:10.670Z