Abstract–since the advent of high throughput methodologies, like microarrays, the load of genomic data has increased geometrically and along with that the need for computational methods which will interpret these data. In the present work we have studied the common gene expression patterns between two tumor cell types of mesodermal origin. In particular, we have attempted to find causal relations between gene expression levels with respect to chromosomal location. We have found that several genes manifested significant relations, using regression analysis and as such they could pose interesting targets for further investigations. This type of analysis can lead to the understanding of the common mechanisms that transform physiological cells to malignant, as well as it reveals a new holistic way to understand the dynamics of tumor onset as well as the mechanistic of oncogenic drivers. Such approaches could prove to be useful in the prediction of genomic targets that could be further studied in order to unravel the mechanics of tumor ontogenesis.
Keywords–Acute Lymphoblastic Leukemia, Chromosomal correlations, Mesoderm, Microarrays, Rhabdomyosarcoma.
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