Interlaboratory Data Variability Contributes to the Differential Principal Components of Human Primed and Naïve-like Pluripotent States in Multivariate Meta-Analysis

Kory R. Johnson; Barbara S. Mallon; Yang C. Fann; Kevin G. Chen

doi:10.1101/822163

Interlaboratory Data Variability Contributes to the Differential Principal Components of Human Primed and Naïve-like Pluripotent States in Multivariate Meta-Analysis

Kory R. Johnson
, Barbara S. Mallon
, Yang C. Fann
, Kevin G. Chen

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	bioRxiv
DOIs	https://doi.org/10.1101/822163
State	Published - Oct 29 2019
Externally published	Yes

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Computational Biology
Biology

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AU - Mallon, Barbara S.

AU - Fann, Yang C.

AU - Chen, Kevin G.

PY - 2019/10/29

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JO - bioRxiv

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Interlaboratory Data Variability Contributes to the Differential Principal Components of Human Primed and Naïve-like Pluripotent States in Multivariate Meta-Analysis

Disciplines

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