Predicting and affecting response to cancer therapy based on pathway-level biomarkers.

Pathway-level methods were also more robust against batch effects, thus enabling the aggregation of data from various cohorts, resulting in highly significant biomarkers 18 – 22 .

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However, using the PathOlogist activity scores, we identified 9 significant ( q ≤ 0.05) and 31 near-significant (0.05 < q ≤ 0.25) pathways in both microarray and RNA-seq datasets.

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