Computational Biology: A New Frontier in Applied Biology

Author(s)

Toma, M., & Concu, R.

Title

Date

2021

Publisher

MDPI AG

Subject

Computational Biology
Computational techniques

Language

English

Source

Biology Volume 10, Issue 5, April 2021, page 374

Rights

Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).

Format

PDF

Type

Text

Identifier

https://repository.nyitlibrary.org/files/original/45fb0fa9261ac518b5a1a88b1977f092.pdf

https://doi.org/10.3390/biology10050374

https://creativecommons.org/licenses/by/4.0/

Bibliographic Citation

MacKenzie, D., Jr., Watters, A. K., To, J. T., Young, M. W., Muratori, J., Wilkoff, M. H., Abraham, R. G., Plummer, M. M., & Zhang, D. (2021). ALT Positivity in Human Cancers: Prevalence and Clinical Insights. In Cancers (Vol. 13, Issue 10, p. 2384). MDPI AG. https://doi.org/10.3390/cancers13102384

Files

Collection

NYITCOM - Faculty Publications

Citation

Toma, M., & Concu, R. , Computational Biology: A New Frontier in Applied Biology. Biology Volume 10, Issue 5, April 2021, page 374, New York Tech Institutional Repository, accessed April 28, 2024, https://repository.nyitlibrary.org/items/show/3775

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