Assessing RNA-Seq Workflow Methodologies Using Shannon Entropy
Abstract Simple Summary: We show how the relationship between the sub-network entropy of malignant up-regulated genes in twelve different types…
Nicolas Carels
A Strategy Utilizing Protein–Protein Interaction Hubs for the Treatment of Cancer Diseases
Abstract We describe a strategy for the development of a rational approach of neoplastic disease therapy based on the demonstration…
A Data Science Approach for the Identification of Molecular Signatures of Aggressive Cancers
Abstract Simple Summary: Traditionally, chemotherapy has been approached through one-size-fits-all strategies. However, personalized oncology would allow a rational approach to…
Galaxy and MEAN Stack to Create a User-Friendly Workflow for the Rational Optimization of Cancer Chemotherapy
Abstract One aspect of personalized medicine is aiming at identifying specific targets for therapy considering the gene expression profile of…
Signaling Complexity Measured by Shannon Entropy and Its Application in Personalized Medicine
Abstract Traditional approaches to cancer therapy seek common molecular targets in tumors from different patients. However, molecular profiles differ between…