Mukherjee, S.; Kar, A.; Khatun, N.; Datta, P.; Biswas, A.; Barik, S.
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 2021, 10, 1917.
https://doi.org/10.3390/cells10081917
AMA Style
Mukherjee S, Kar A, Khatun N, Datta P, Biswas A, Barik S.
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. 2021; 10(8):1917.
https://doi.org/10.3390/cells10081917
Chicago/Turabian Style
Mukherjee, Soumyadeep, Arpita Kar, Najma Khatun, Puja Datta, Avik Biswas, and Subhasis Barik.
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 10, no. 8: 1917.
https://doi.org/10.3390/cells10081917
APA Style
Mukherjee, S., Kar, A., Khatun, N., Datta, P., Biswas, A., & Barik, S.
(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, 10(8), 1917.
https://doi.org/10.3390/cells10081917
