Differential gene expression bias due to effect of an individual sample
Leave-one-out cross validation is an iterative method that leaves out one sample until each sample has been left out once. You can then identify the intersection of the differentially expressed genes from the sample space of repeated analyses to produce a set of genes that are consistently differentially expressed independent of individual sample biases.
more info here:
http://efavdb.com/leave-one-out-cross-validation/