Enables the application of gene set tests (GST) in the absence of large parts of the genome in boutique arrays. bcGST corrects for the gene set selection bias effect by diminishing false negatives during scoring gene set significance. It produces stable GST results when gene set selection bias is present. It can also adjust for statistical significance as a result of gene-set selection bias. This grid-based evaluation tool provides interpretable visualizations.
School of Mathematics and Statistics, The University of Sydney, NSW, Australia; Melanoma Institute Australia, NSW, Australia; Department of Clinical Medicine, Macquarie University, NSW, Australia; Sydney Medical School, The University of Sydney, NSW, Australia; Royal North Shore Hospital, Sydney, NSW, Australia; Royal Prince Alfred Hospital, Sydney, NSW, Australia; Genentech Inc, South San Francisco, CA, USA
bcGST funding source(s)
Supported by the Australian Postgraduate Award and by Cancer Institute NSW Early Career Fellowships and by a NHMRC Early Career Fellowship and by NHMRC Practitioner Fellowships and by an ARC Discovery Project grant [DP170100654] and by NHMRC program grant and Genentech, Melanoma Institute of Australia, the Royal Prince Alfred Hospital and Westmead Hospital.