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hagenaue / FrontalPole_Microarray

Reanalysis of public frontal pole (BA10) microarray data to accompany our qPCR project examining neurotransmission-related gene expression in the frontal pole in relationship to Bipolar Disorder and Schizophrenia.
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Making forest plots for top meta-analysis genes #14

Open hagenaue opened 3 years ago

hagenaue commented 3 years ago

A forest plot illustrates the effect size and sample error for each study, as well as the estimated effect size and sample error for the entire meta-analysis.

For our purposes, we will want separate forest plots illustrating the effects for the top genes from our meta-analysis, and probably also the effects for the top genes from Adriana's qPCR study.

hagenaue commented 3 years ago

Here is some sample code to doctor. https://github.com/hagenaue/FrontalPole_Microarray/blob/main/SampleCode_ForestPlots.R

... unfortunately, it will need a lot of doctoring - if I remember right, almost every aspect of the formatting needs to be tweaked by trial and error (output it, see if it looks right, adjust parameters, output again...).