Citations refer to the original publication, not to a Scieee localized version.
Gundogdu, P., Alamo Álvarez, I., Nepomuceno Chamorro, I. D. L. Á., Dopazo, J., & Loucera, C. (2023). SigPrimedNet: a signaling-informed neural network for scRNA-seq annotation of known and unknown cell types. MDPI. https://doi.org/10.3390/biology12040579
Gundogdu, Pelin, et al. SigPrimedNet: a signaling-informed neural network for scRNA-seq annotation of known and unknown cell types. MDPI, 2023. https://doi.org/10.3390/biology12040579.
Gundogdu, Pelin, Inmaculada Alamo Álvarez, Isabel de los Ángeles Nepomuceno Chamorro, Joaquín Dopazo, and Carlos Loucera. SigPrimedNet: a signaling-informed neural network for scRNA-seq annotation of known and unknown cell types. MDPI, 2023. https://doi.org/10.3390/biology12040579.
Gundogdu, P. et al. (2023) SigPrimedNet: a signaling-informed neural network for scRNA-seq annotation of known and unknown cell types. MDPI. Available at: https://doi.org/10.3390/biology12040579.
P. Gundogdu, I. Alamo Álvarez, I. D. L. Á. Nepomuceno Chamorro, J. Dopazo, and C. Loucera, “SigPrimedNet: a signaling-informed neural network for scRNA-seq annotation of known and unknown cell types,” MDPI, 2023, doi: 10.3390/biology12040579.
@misc{gundogdu2023sigprimednet,
author = {Gundogdu, Pelin and Alamo Álvarez, Inmaculada and Nepomuceno Chamorro, Isabel de los Ángeles and Dopazo, Joaquín and Loucera, Carlos},
title = {SigPrimedNet: a signaling-informed neural network for scRNA-seq annotation of known and unknown cell types},
year = {2023},
publisher = {MDPI},
doi = {10.3390/biology12040579},
url = {https://doi.org/10.3390/biology12040579}
}
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