Inevitably, energy plays a vital role on our social life and fossil fuel forms of energy meet the most part of our energy demand. Fossil fuels are exhaustible whereas global energy demand is increasing. Furthermore, they pose significant and principal adverse impacts on environment and public health. As a consequence, societies are seeking alternatives to substitute the fossil fuel consumption. The issue of utilizing agriculture waste to produce energy has always been the matter of debate for the societies.
In this work we present a probabilistic model to estimate summaries of Affymetrix GeneChip probe level data. Comparisons with two different models were made both on a publicly available dataset and on a study performed in our laboratory, showing that our model performs better for consistency of fold change.
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