<p>Data science training for experimental biology graduate students</p>

Christina Akirtava; Russell Schwartz; Emily Daniels Weiss; Laura Ochs Pottmeyer

doi:10.7490/f1000research.1118171.1

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Akirtava C, Schwartz R, Weiss ED and Pottmeyer LO. Data science training for experimental biology graduate students [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):882 (poster) (https://doi.org/10.7490/f1000research.1118171.1)

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Data science training for experimental biology graduate students

Christina Akirtava¹, Russell Schwartz, Emily Daniels Weiss, Laura Ochs Pottmeyer

Published 03 Aug 2020 (https://doi.org/10.7490/f1000research.1118171.1)

Author Affiliations

¹ Carnegie Mellon University[NERL], USA

Copyright © 2020 Akirtava C et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 03 Aug 2020

Data science training for experimental biology graduate students
[version 1; not peer reviewed]

Christina Akirtava¹, Russell Schwartz, Emily Daniels Weiss, Laura Ochs Pottmeyer

Author Affiliations

¹ Carnegie Mellon University[NERL], USA

Presented at

28th International Conference on Intelligent Systems for Molecular Biology (ISMB) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

bioinformatics, R, Data Analysis, Biology, Research, Statistics

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