Sarah Tulin

Contact description


Curriculum vitae


716-888-2557


Biology Department

Canisius University

Sarah Tulin
Biology Department
2001 Main Street
Buffalo, NY 14208-1517
United States



Developmental gene regulatory network connections predicted by machine learning from gene expression data alone


Journal article


Jingyi Zhang, Farhan Ibrahim, Emily Najmulski, George Katholos, Doaa Altarawy, Lenwood S Heath, Sarah L Tulin
PLoS One, vol. 16, 2021 Dec, pp. e0261926

Cite

Cite

APA   Click to copy
Zhang, J., Ibrahim, F., Najmulski, E., Katholos, G., Altarawy, D., Heath, L. S., & Tulin, S. L. (2021). Developmental gene regulatory network connections predicted by machine learning from gene expression data alone. PLoS One, 16, e0261926.


Chicago/Turabian   Click to copy
Zhang, Jingyi, Farhan Ibrahim, Emily Najmulski, George Katholos, Doaa Altarawy, Lenwood S Heath, and Sarah L Tulin. “Developmental Gene Regulatory Network Connections Predicted by Machine Learning from Gene Expression Data Alone.” PLoS One 16 (December 2021): e0261926.


MLA   Click to copy
Zhang, Jingyi, et al. “Developmental Gene Regulatory Network Connections Predicted by Machine Learning from Gene Expression Data Alone.” PLoS One, vol. 16, Dec. 2021, p. e0261926.


BibTeX   Click to copy

@article{zhang2021a,
  title = {Developmental gene regulatory network connections predicted by machine learning from gene expression data alone},
  year = {2021},
  month = dec,
  journal = {PLoS One},
  pages = {e0261926},
  volume = {16},
  author = {Zhang, Jingyi and Ibrahim, Farhan and Najmulski, Emily and Katholos, George and Altarawy, Doaa and Heath, Lenwood S and Tulin, Sarah L},
  month_numeric = {12}
}


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