Abstract: The present invention provides methods for high-throughput assessment of in vivo skin sensitizing activity of chemical compounds through detection of secretion levels of cytokine markers implicated in skin sensitization in combination with a multivariate analysis, using support vector machine (SVM) for feature selection. The invention includes a computational algorithm that will provide unbiased analysis on the skin cell secretome data and predict the level of skin sensitization. The invention allows accurate assessment of the level sensitizing potency of any chemicals in a high-throughput manner, which can eliminate the needs for animal experiments, potentially saving money and time.