NPARS—A Novel Approach to Address Accuracy and Reproducibility in Genomic Data Science

Background: Accuracy and reproducibility are vital in science and presents a significant challenge in the emerging discipline of data science, especially when the data are scientifically complex and massive in size. Further complicating matters, in the field of genomic-based science high-throughput...

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Bibliographic Details
Main Authors: Li Ma, Erich A. Peterson, Ik Jae Shin, Jason Muesse, Katy Marino, Matthew A. Steliga, Donald J. Johann
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Big Data
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdata.2021.725095/full