Batch effect correction methods for NASA GeneLab transcriptomic datasets

Batch effect correction methods for NASA GeneLab transcriptomic datasets

Introduction: RNA sequencing (RNA-seq) data from space biology experiments promise to yield invaluable insights into the effects of spaceflight on terrestrial biology. However, sample numbers from each study are low due to limited crew availability, hardware, and space. To increase statistical power...

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Bibliographic Details
Main Authors: Lauren M. Sanders, Hamed Chok, Finsam Samson, Ana Uriarte Acuna, San-Huei Lai Polo, Valery Boyko, Yi-Chun Chen, Marie Dinh, Samrawit Gebre, Jonathan M. Galazka, Sylvain V. Costes, Amanda M. Saravia-Butler
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Astronomy and Space Sciences
Subjects:
RNA-seq
batch effect correction
NASA genelab
space biology
transcriptomics
combat
Online Access:https://www.frontiersin.org/articles/10.3389/fspas.2023.1200132/full

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https://www.frontiersin.org/articles/10.3389/fspas.2023.1200132/full

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