User: Kei Enomoto

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Posts by Kei Enomoto

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Comment: C: limma: treating multiple variables as random effects in duplicateCorrelation()
... Thank you very much for your reply again. I will keep considering how to deal with my data. I found limma very powerful tool anyway. I appreciate your great help! ...
written 6 months ago by Kei Enomoto0
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Comment: C: limma: treating multiple variables as random effects in duplicateCorrelation()
... Thank you very much for your answer. Let me ask a little bit more just for making sure if my idea is correct. I agree to put tumorType as one of covariates. However, don't some tumor types with only one cell line (Glioblastoma, Melanoma, Mesothelioma, Ovarian, and Prostate) have "harmful" effects? ...
written 6 months ago by Kei Enomoto0
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limma: treating multiple variables as random effects in duplicateCorrelation()
... I’m working on the identification of the genes affecting the efficacy of an anti-cancer drug, which targets specific protein expressed on the surface of the tumor cells. I’m trying to identify such genes because the efficacy cannot be fully correlated or explained by the expression level of the targ ...
limma duplicatecorrelation written 6 months ago by Kei Enomoto0 • updated 6 months ago by Gordon Smyth39k

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